WO2009134672A1 - Generation of a computerized bone model representative of a pre-degenerated state and useable in the design and manufacture of arthroplasty devices - Google Patents

Generation of a computerized bone model representative of a pre-degenerated state and useable in the design and manufacture of arthroplasty devices Download PDF

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Publication number
WO2009134672A1
WO2009134672A1 PCT/US2009/041519 US2009041519W WO2009134672A1 WO 2009134672 A1 WO2009134672 A1 WO 2009134672A1 US 2009041519 W US2009041519 W US 2009041519W WO 2009134672 A1 WO2009134672 A1 WO 2009134672A1
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WIPO (PCT)
Prior art keywords
bone
degenerated
patient
joint
contour line
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PCT/US2009/041519
Other languages
French (fr)
Inventor
Ilwhan Park
Charlie W. Chi
Stephen M. Howell
Original Assignee
Otismed Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Otismed Corporation filed Critical Otismed Corporation
Priority to JP2011507545A priority Critical patent/JP5681098B2/en
Priority to EP17183082.1A priority patent/EP3263075B1/en
Priority to EP09739474.6A priority patent/EP2280671B1/en
Priority to AU2009241396A priority patent/AU2009241396B2/en
Priority to CA2721735A priority patent/CA2721735C/en
Publication of WO2009134672A1 publication Critical patent/WO2009134672A1/en

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10Computer-aided planning, simulation or modelling of surgical operations
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00Surgical instruments, devices or methods, e.g. tourniquets
    • A61B17/14Surgical saws ; Accessories therefor
    • A61B17/15Guides therefor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00Surgical instruments, devices or methods, e.g. tourniquets
    • A61B17/14Surgical saws ; Accessories therefor
    • A61B17/15Guides therefor
    • A61B17/154Guides therefor for preparing bone for knee prosthesis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00Surgical instruments, devices or methods, e.g. tourniquets
    • A61B17/14Surgical saws ; Accessories therefor
    • A61B17/15Guides therefor
    • A61B17/154Guides therefor for preparing bone for knee prosthesis
    • A61B17/155Cutting femur
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00Surgical instruments, devices or methods, e.g. tourniquets
    • A61B17/14Surgical saws ; Accessories therefor
    • A61B17/15Guides therefor
    • A61B17/154Guides therefor for preparing bone for knee prosthesis
    • A61B17/157Cutting tibia
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61FFILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F5/00Orthopaedic methods or devices for non-surgical treatment of bones or joints; Nursing devices; Anti-rape devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10Computer-aided planning, simulation or modelling of surgical operations
    • A61B2034/101Computer-aided simulation of surgical operations
    • A61B2034/102Modelling of surgical devices, implants or prosthesis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10Computer-aided planning, simulation or modelling of surgical operations
    • A61B2034/101Computer-aided simulation of surgical operations
    • A61B2034/105Modelling of the patient, e.g. for ligaments or bones
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10Computer-aided planning, simulation or modelling of surgical operations
    • A61B2034/108Computer aided selection or customisation of medical implants or cutting guides

Definitions

  • the present invention relates to systems and methods for manufacturing customized surgical devices. More specifically, the present invention relates to automated systems and methods for manufacturing customized arthroplasty jigs.
  • bones and joints can become damaged or worn.
  • repetitive strain on bones and joints e.g., through athletic activity
  • traumatic events e.g., through certain diseases (e.g., arthritis)
  • cartilage in joint areas which normally provides a cushioning effect
  • fluid can accumulate in the joint areas, resulting in pain, stiffness, and decreased mobility.
  • Arthroplasty procedures can be used to repair damaged joints. During a typical arthroplasty procedure, an arthritic or otherwise dysfunctional joint can be remodeled or realigned, or an implant can be implanted into the damaged region. Arthroplasty procedures may take place in any of a number of different regions of the body, such as a knee, a hip, a shoulder, or an elbow.
  • TKA total knee arthroplasty
  • the knee joint may have been damaged by, for example, arthritis (e.g., severe osteoarthritis or degenerative arthritis), trauma, or a rare destructive joint disease.
  • arthritis e.g., severe osteoarthritis or degenerative arthritis
  • trauma e.g., trauma, or a rare destructive joint disease.
  • a damaged portion in the distal region of the femur may be removed and replaced with a metal shell, and a damaged portion in the proximal region of the tibia may be removed and replaced with a channeled piece of plastic having a metal stem.
  • a plastic button may also be added under the surface of the patella, depending on the condition of the patella.
  • Implants that are implanted into a damaged region may provide support and structure to the damaged region, and may help to restore the damaged region, thereby enhancing its functionality.
  • the damaged region Prior to implantation of an implant in a damaged region, the damaged region may be prepared to receive the implant.
  • the damaged region may be prepared to receive the implant.
  • one or more of the bones in the knee area such as the femur and/or the tibia, may be treated (e.g., cut, drilled, reamed, and/or resurfaced) to provide one or more surfaces that can align with the implant and thereby accommodate the implant.
  • a one- to two-millimeter translational misalignment, or a one- to two- degree rotational misalignment may result in imbalanced ligaments, and may thereby significantly affect the outcome of the TKA procedure.
  • implant misalignment may result in intolerable post-surgery pain, and also may prevent the patient from having full leg extension and stable leg flexion.
  • an arthroplasty jig may be used to accurately position and orient a finishing instrument, such as a cutting, drilling, reaming, or resurfacing instrument on the regions of the bone.
  • the arthroplasty jig may, for example, include one or more apertures and/or slots that are configured to accept such an instrument.
  • a system and method has been developed for producing customized arthroplasty jigs configured to allow a surgeon to accurately and quickly perform an arthroplasty procedure that restores the pre-deterioration alignment of the joint, thereby improving the success rate of such procedures.
  • the customized arthroplasty jigs are indexed such that they matingly receive the regions of the bone to be subjected to a treatment (e.g., cutting, drilling, reaming, and/or resurfacing).
  • the customized arthroplasty jigs are also indexed to provide the proper location and orientation of the treatment relative to the regions of the bone.
  • the indexing aspect of the customized arthroplasty jigs allows the treatment of the bone regions to be done quickly and with a high degree of accuracy that will allow the implants to restore the patient's joint to a generally pre-deteriorated state.
  • the system and method for generating the customized jigs often relies on a human to "eyeball" bone models on a computer screen to determine configurations needed for the generation of the customized jigs. This is "eyeballing" or manual manipulation of the bone models on the computer screen is inefficient and unnecessarily raises the time, manpower and costs associated with producing the customized arthroplasty jigs.
  • a less manual approach may improve the accuracy of the resulting jigs.
  • Preoperative assessment of bone loss is advantageous for prosthesis design, for example, to reduce the likelihood of prosthesis loosening and to provide a more reliable bone restoration method for preoperative implant design, thereby improving the success rate for such procedures such as total knee arthroplasty ("TKA”) and partial knee arthroplasty (e.g., a unicompartment knee arthroplasty) and providing a patient-specific bone restoration method to fit an individual patient's knee features.
  • TKA total knee arthroplasty
  • partial knee arthroplasty e.g., a unicompartment knee arthroplasty
  • the current available joint reconstruction and replacement surgeries including knee, ankle, hip, shoulder or elbow arthroplasty, are mainly based on standard guidelines and methods for acceptable performance. Taking this into account, the positioning and orientation of the arthroplasty work on a joint is based on standard values for orientation relative to the biomechanical axes, such as flexion/extension, varus/valgus, and range of motion.
  • One of the surgical goals of joint replacement/reconstruction should be to achieve a certain alignment relative to a load axes.
  • the conventional standards are based on static load analysis and therefore may not be able to provide an optimal joint functionality for adopting individual knee features of OA patients.
  • the methods disclosed herein provide a kinetic approach for bone restoration, properly balancing the unconstrained joint and ligaments surrounding the joint, and resulting in a placement of a prosthetic implant that generally restores the patient's knee to a generally pre-degenerated state.
  • the result of the bone restoration process disclosed herein is a TKA or partial knee arthroplasty procedure that generally returns the knee to its pre-degenerated state whether that pre-degenerated state is naturally varus, valgus or neutral.
  • the surgical procedure will result in a knee that is generally restored to that specific natural pre-degenerated alignment, as opposed to simply making the knee have an alignment that corresponds to the mechanical axis, as is the common focus and result of most, if not all, arthroplasty procedures known in the art.
  • the method includes: determining reference information from a reference portion of a degenerated bone model representative of the at least a portion of the patient bone in a degenerated state; and using the reference information to restore a degenerated portion of the degenerated bone model into a restored portion representative of the degenerated portion in the pre-degenerated state.
  • the method further includes employing the restored bone model in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
  • the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
  • the prosthetic implant may be for a total joint replacement or partial joint replacement.
  • the patient joint may be a variety of joints, including, but not limited to, a knee joint.
  • the method includes: generating at least one image of the patient bone in a degenerated state; identifying a reference portion associated with a generally non-degenerated portion of the patient bone; identifying a degenerated portion associated with a generally degenerated portion of the patient bone; and using information from at least one image associated with the reference portion to modify at least one aspect associated with at least one image associated the generally degenerated portion.
  • the method may further include employing the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
  • the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
  • the prosthetic implant may be for a total joint replacement or partial joint replacement.
  • the patient joint may be a variety of joints, including, but not limited to, a knee joint.
  • the method includes: generating at least one image of the first patient bone in a degenerated state; identifying a reference portion associated with a generally non-degenerated portion of a second patient bone; identifying a degenerated portion associated with a generally degenerated portion of the first patient bone; and using information from at least one image associated with the reference portion to modify at least one aspect associated with at least one image associated the generally degenerated portion.
  • the method may further include employing the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
  • the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
  • the prosthetic implant may be for a total joint replacement or partial joint replacement.
  • the patient joint may be a variety of joints, including, but not limited to, a knee joint.
  • the method includes: identifying a second patient bone of a second joint, wherein the second bone is a generally symmetrical mirror image of the first patient bone; generating a plurality of images of the second patient bone when the second patient bone is in a generally non-degenerated state; mirroring the plurality of images to reverse the order of the plurality images; and compiling the plurality of images in the reversed order to form the computerized bone model representative of the at least a portion of the first patient bone.
  • the method may further include employing the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
  • the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
  • the prosthetic implant may be for a total joint replacement or partial joint replacement.
  • the patient joint may be a variety of joints, including, but not limited to, a knee joint.
  • FIG. 1A is a schematic diagram of a system for employing the automated jig production method disclosed herein.
  • FIGS. 1 B-1 E are flow chart diagrams outlining the jig production method disclosed herein.
  • FIGS. 1 F and 1 G are, respectively, bottom and top perspective views of an example customized arthroplasty femur jig.
  • FIGS. 1 H and 11 are, respectively, bottom and top perspective views of an example customized arthroplasty tibia jig.
  • FIG. 2 is a diagram generally illustrating a bone restoration process for restoring a 3D computer generated bone model into a 3D computer generated restored bone model.
  • FIG. 3A is a coronal view of a distal or knee joint end of a femur restored bone model.
  • FIG. 3B is an axial view of a distal or knee joint end of a femur restored bone model.
  • FIG. 3C is a coronal view of a proximal or knee joint end of a tibia restored bone model.
  • FIG. 3D represents the femur and tibia restored bone models in the views depicted in FIGS. 3A and 3C positioned together to form a knee joint.
  • FIG. 3E represents the femur and tibia restored bone models in the views depicted in FIGS. 3B and 3C positioned together to form a knee joint.
  • FIG. 3F is a sagittal view of the femoral medial condyle ellipse and, more specifically, the N1 slice of the femoral medial condyle ellipse as taken along line N1 in FIG. 3A.
  • FIG. 3G is a sagittal view of the femoral lateral condyle ellipse and, more specifically, the N2 slice of the femoral lateral condyle ellipse as taken along line N2 in FIG. 3A.
  • FIG. 3H is a sagittal view of the femoral medial condyle ellipse and, more specifically, the N3 slice of the femoral medial condyle ellipse as taken along line N3 in FIG. 3B.
  • FIG. 31 is a sagittal view of the femoral lateral condyle ellipse and, more specifically, the N4 slice of the femoral lateral condyle ellipse as taken along line N4 in FIG. 3B.
  • FlG. 4A is a sagital view of the lateral tibia plateau with the lateral femur condyle ellipse of the N1 slice of FIG. 3F superimposed thereon.
  • FIG. 4B is a sagital view of the medial tibia plateau with the lateral femur condyle ellipse of the N2 slice of FIG. 3G superimposed thereon.
  • FIG. 4C is a top view of the tibia plateaus of a restored tibia bone model.
  • FIG. 4D is a sagital cross section through a lateral tibia plateau of the restored bone model 28B of FIG. 4C and corresponding to the N3 image slice of FIG. 3B.
  • FIG. 4E is a sagital cross section through a medial tibia plateau of the restored bone model of FIG. 4C and corresponding to the N4 image slice of FIG. 3B.
  • FIG. 4F is a posterior-lateral perspective view of femur and tibia bone models forming a knee joint.
  • FIG. 4G is a posterior-lateral perspective view of femur and tibia restored bone models forming a knee joint.
  • FIGS. 5A is a coronal view of a femur bone model.
  • FIG. 5B is a coronal view of a tibia bone model.
  • FIG. 5C1 is an N2 image slice of the medial condyle as taken along the N2 line in FIG. 5A.
  • FIG. 5C2 is the same view as FIG. 5C1 , except illustrating the need to increase the size of the reference information prior to restoring the contour line of the N2 image slice.
  • FIG. 5C3 is the same view as FIG. 5C1 , except illustrating the need to reduce the size of the reference information prior to restoring the contour line of the N2 image slice.
  • FIG. 5D is the N2 image slice of FIG. 5C1 subsequent to restoration.
  • FIG. 5E is a sagital view of the medial tibia plateau along the N4 image slice, wherein damage to the plateau is mainly in the posterior region.
  • FIG. 5F is a sagital view of the medial tibia plateau along the N4 image slice, wherein damage to the plateau is mainly in the anterior region.
  • FIG. 5G is the same view as FIG. 5E, except showing the reference side femur condyle vector extending through the anterior highest point of the tibia plateau.
  • FIG. 5H is the same view as FIG. 5F, except showing the reference side femur condyle vector extending through the posterior highest point of the tibia plateau.
  • FIG. 51 is the same view as FIG. 5G, except showing the anterior highest point of the tibia plateau restored.
  • FIG. 5J is the same view as FIG. 5H, except showing the posterior highest point of the tibia plateau restored.
  • FIG. 5K is the same view as FIG. 5G, except employing reference vector Vi as opposed to U-i.
  • FIG. 5L is the same view as FIG. 5H, except employing reference vector Vi as opposed to U- I .
  • FIG. 5M is the same view as FIG. 51, except employing reference vector Vi as opposed to U- ⁇ .
  • FIG. 5N is the same view as FIG. 5J, except employing reference vector Vi as opposed to U- I .
  • FIG. 6A is a sagital view of a femur restored bone model illustrating the orders and orientations of imaging slices (e.g., MRI slices, CT slices, etc.) forming the femur restored bone model.
  • imaging slices e.g., MRI slices, CT slices, etc.
  • FIG. 6B is the distal images slices 1-5 taken along section lines 1-5 of the femur restored bone model in FIG. 6A.
  • FIG. 6C is the coronal images slices 6-8 taken along section lines 6-8 of the femur restored bone model in FIG. 6A.
  • FIG. 6D is a perspective view of the distal end of the femur restored bone model.
  • FIG. 7 is a table illustrating how OA knee conditions may impact the likelihood of successful bone restoration.
  • FIGS. 8A-8C are various of the tibia plateau with reference to restoration of a side thereof.
  • FIGS. 9A and 9B are, respectively, coronal and sagital views of the restored bone models.
  • FIG. 10A is a diagram illustrating the condition of a patient's right knee, which is in a deteriorated state, and left knee, which is generally healthy.
  • FIG. 10B is a diagram illustrating two options for creating a restored bone model for a deteriorated right knee from image slices obtained from a healthy left knee.
  • the jigs 2 are customized to fit specific bone surfaces of specific patients.
  • the jigs 2 are automatically planned and generated and may be similar to those disclosed in these three U.S. Patent Applications: U.S. Patent Application 11/656,323 to Park et al., titled “Arthroplasty Devices and Related Methods” and filed January 19, 2007; U.S. Patent Application 10/146,862 to Park et al., titled “Improved Total Joint Arthroplasty System” and filed May 15, 2002; and U.S. Patent 11/642,385 to Park et al., titled “Arthroplasty Devices and Related Methods” and filed December 19, 2006.
  • the disclosures of these three U.S. Patent Applications are incorporated by reference in their entireties into this Detailed Description.
  • FIG. 1A is a schematic diagram of a system 4 for employing the automated jig production method disclosed herein.
  • FIGS. 1 B-1 E are flow chart diagrams outlining the jig production method disclosed herein. The following overview discussion can be broken down into three sections.
  • the first section which is discussed with respect to FlG. 1A and [blocks 100- 125] of FIGS. 1 B-1 E, pertains to an example method of determining, in a three- dimensional ("3D") computer model environment, saw cut and drill hole locations 30, 32 relative to 3D computer models that are termed restored bone models 28.
  • the resulting "saw cut and drill hole data" 44 is referenced to the restored bone models 28 to provide saw cuts and drill holes that will allow arthroplasty implants to generally restore the patient's joint to its pre-degenerated state. In other words, the patient's joint will be restored to its natural alignment prior to degeneration.
  • the saw cuts and drill holes will allow the arthroplasty implants to generally restore the patient's joint to that degree of valgus.
  • the saw cuts and drill holes will allow the arthroplasty implants to generally restore the patient's joint to that degree of varus, and where the patient's pre-degenerated joint was neutral, the saw cuts and drill holes will allow the arthroplasty implants to generally restore the patient's joint to neutral.
  • the second section which is discussed with respect to FIG. 1A and [blocks 100-105 and 130-145] of FIGS. 1 B-1 E, pertains to an example method of importing into 3D computer generated jig models 38 3D computer generated surface models 40 of arthroplasty target areas 42 of 3D computer generated arthritic models 36 of the patient's joint bones.
  • the resulting "jig data" 46 is used to produce a jig customized to matingly receive the arthroplasty target areas of the respective bones of the patient's joint.
  • the third section which is discussed with respect to FIG. 1A and [blocks 150- 165] of FIG. 1 E, pertains to a method of combining or integrating the "saw cut and drill hole data" 44 with the "jig data” 46 to result in "integrated jig data” 48.
  • the "integrated jig data” 48 is provided to the CNC machine 10 for the production of customized arthroplasty jigs 2 from jig blanks 50 provided to the CNC machine 10.
  • the resulting customized arthroplasty jigs 2 include saw cut slots and drill holes positioned in the jigs 2 such that when the jigs 2 matingly receive the arthroplasty target areas of the patient's bones, the cut slots and drill holes facilitate preparing the arthroplasty target areas in a manner that allows the arthroplasty joint implants to generally restore the patient's joint line to its pre-degenerated state.
  • the customized arthroplasty jigs 2 facilitate preparing the patient's bone in a manner that allows the arthroplasty joint implants to restore the patient's joint to a natural alignment that corresponds to the patient's specific pre-degenerated alignment, whether that specific pre-degenerated alignment was valgus, varus or neutral.
  • the system 4 includes a computer 6 having a CPU 7, a monitor or screen 9 and an operator interface controls 11.
  • the computer 6 is linked to a medical imaging system 8, such as a CT or MRI machine 8, and a computer controlled machining system 10, such as a CNC milling machine 10.
  • a patient 12 has a joint 14 (e.g., a knee, elbow, ankle, wrist, hip, shoulder, skull/vertebrae or vertebrae/vertebrae interface, etc.) to be totally replaced (e.g., TKA), partially replaced (e.g., partial or compartmentalized replacement), resurfaced, or otherwise treated.
  • the patient 12 has the joint 14 scanned in the imaging machine 8.
  • the imaging machine 8 makes a plurality of scans of the joint 14, wherein each scan pertains to a thin slice of the joint 14.
  • the plurality of scans is used to generate a plurality of two-dimensional (“2D") images 16 of the joint 14 [block 100].
  • the 2D images will be of the femur 18 and tibia 20.
  • the imaging may be performed via CT or MRI.
  • the imaging process may be as disclosed in U.S. Patent Application 11/946,002 to Park, which is entitled "Generating MRI Images Usable For The Creation Of 3D Bone Models Employed To Make Customized Arthroplasty Jigs," was filed November 27, 2007 and is incorporated by reference in its entirety into this Detailed Description.
  • point P is identified in the 2D images 16 [block 105].
  • point P may be at the approximate medial-lateral and anterior-posterior center of the patient's joint 14.
  • point P may be at any other location in the 2D images 16, including anywhere on, near or away from the bones 18, 20 or the joint 14 formed by the bones 18, 20.
  • point P may be used to locate the computer generated 3D models 22, 28, 36 created from the 2D images 16 and to integrate information generated via the 3D models.
  • point P which serves as a position and/or orientation reference, may be a single point, two points, three points, a point plus a plane, a vector, etc., so long as the reference P can be used to position and/or orient the 3D models 22, 28, 36 generated via the 2D images 16.
  • the 2D images 16 are employed to create computer generated 3D bone-only (i.e., "bone models") 22 of the bones 18, 20 forming the patient's joint 14 [block 110].
  • the bone models 22 are located such that point P is at coordinates (X 0- J, Yo-j, Z 0 .j) relative to an origin (X 0 , Yo, Z 0 ) of an X-Y-Z axis [block 110].
  • the bone models 22 depict the bones 18, 20 in the present deteriorated condition with their respective degenerated joint surfaces 24, 26, which may be a result of osteoarthritis, injury, a combination thereof, etc.
  • Computer programs for creating the 3D computer generated bone models 22 from the 2D images 16 include: Analyze from AnalyzeDirect, Inc., Overland Park, KS; Insight Toolkit, an open-source software available from the National Library of Medicine Insight Segmentation and Registration Toolkit ("ITK"), www.itk.org; 3D Slicer, an open-source software available from www.slicer.org; Mimics from Materialise, Ann Arbor, Ml; and Paraview available at www.paraview.org.
  • ITK National Library of Medicine Insight Segmentation and Registration Toolkit
  • the 3D computer generated bone models 22 are utilized to create 3D computer generated "restored bone models" or "planning bone models” 28 wherein the degenerated surfaces 24, 26 are modified or restored to approximately their respective conditions prior to degeneration [block 115].
  • the bones 18, 20 of the restored bone models 28 are reflected in approximately their condition prior to degeneration.
  • the restored bone models 28 are located such that point P is at coordinates (Xo-j, Yo-j, Z 0- j) relative to the origin (X 0 , Yo, Z 0 ).
  • the restored bone models 28 share the same orientation and positioning relative to the origin (X 0 , Yo, Z 0 ) as the bone models 22.
  • the restored bone models 28 are manually created from the bone models 22 by a person sitting in front of a computer 6 and visually observing the bone models 22 and their degenerated surfaces 24, 26 as 3D computer models on a computer screen 9.
  • the person visually observes the degenerated surfaces 24, 26 to determine how and to what extent the degenerated surfaces 24, 26 on the 3D computer bone models 22 need to be modified to generally restore them to their pre-degenerated condition or an estimation or approximation of their pre-degenerated state.
  • the person then manually manipulates the 3D degenerated surfaces 24, 26 via the 3D modeling computer program to restore the surfaces 24, 26 to a state the person believes to represent the pre-degenerated condition.
  • the result of this manual restoration process is the computer generated 3D restored bone models 28, wherein the surfaces 24', 26' are indicated in a non-degenerated state.
  • the result is restored bone models 28 that can be used to represent the natural, pre-degenerated alignment and configuration of the patient's knee joint whether that pre-degenerated alignment and configuration was varus, valgus or neutral.
  • the above-described bone restoration process is generally or completely automated to occur via a processor employing the methods disclosed herein.
  • a computer program may analyze the bone models 22 and their degenerated surfaces 24, 26 to determine how and to what extent the degenerated surfaces 24, 26 surfaces on the 3D computer bone models 22 need to be modified to restore them to their pre-degenerated condition or an estimation or approximation of their pre-degenerated state.
  • the computer program then manipulates the 3D degenerated surfaces 24, 26 to restore the surfaces 24, 26 to a state intended to represent the pre-degenerated condition.
  • the result of this automated restoration process is the computer generated 3D restored bone models 28, wherein the surfaces 24', 26' are indicated in a non-degenerated state.
  • the restored bone models 28 are employed in a preoperative planning ("POP") procedure to determine saw cut locations 30 and drill hole locations 32 in the patient's bones that will allow the arthroplasty joint implants, whether in the context of total joint arthroplasty or partial or compartmentalized joint arthroplasty, to generally restore the patient's joint line to its pre-degenerative or natural alignment [block 120].
  • POP preoperative planning
  • the POP procedure is a manual process, wherein computer generated 3D implant models 34 (e.g., femur and tibia implants in the context of the joint being a knee) and restored bone models 28 are manually manipulated relative to each other by a person sitting in front of a computer 6 and visually observing the implant models 34 and restored bone models 28 on the computer screen 9 and manipulating the models 28, 34 via the computer controls 11.
  • the joint surfaces of the implant models 34 can be aligned or caused to correspond with the joint surfaces of the restored bone models 28.
  • the implant models 34 are positioned relative to the restored bone models 28 such that the saw cut locations 30 and drill hole locations 32 can be determined relative to the restored bone models 28.
  • the POP process is generally or completely automated.
  • a computer program may manipulate computer generated 3D implant models 34 (e.g., femur and tibia implants in the context of the joint being a knee) and restored bone models or planning bone models 8 relative to each other to determine the saw cut and drill hole locations 30, 32 relative to the restored bone models 28.
  • the implant models 34 may be superimposed over the restored bone models 28, or vice versa.
  • the implant models 34 are located at point P' (X 0-k , Yo-k, Zo-k) relative to the origin (X 0 , Yo, Z 0 ), and the restored bone models 28 are located at point P (X 0-J , Yo-j, Z 0-j ).
  • the computer program may move the restored bone models 28 from point P (X 0- J, Y 0- J, Zo-j) to point P' (X 0- k, Yo-k, Z 0 . k ), or vice versa.
  • the joint surfaces of the implant models 34 may be shape-matched to align or correspond with the joint surfaces of the restored bone models 28.
  • the implant models 34 are positioned relative to the restored bone models 28 such that the saw cut locations 30 and drill hole locations 32 can be determined relative to the restored bone models 28.
  • the data 44 regarding the saw cut and drill hole locations 30, 32 relative to point P' (X 0- k, Yo-k, Z 0- k) is packaged or consolidated as the "saw cut and drill hole data" 44 [block 145].
  • the "saw cut and drill hole data" 44 is then used as discussed below with respect to [block 150] in FIG. 1 E.
  • the 2D images 16 employed to generate the bone models 22 discussed above with respect to [block 110] of FIG. 1C are also used to create computer generated 3D bone and cartilage models (i.e., "arthritic models") 36 of the bones 18, 20 forming the patient's joint 14 [block 130].
  • the arthritic models 36 are located such that point P is at coordinates (Xo-j, Yo-j, Z 0- j) relative to the origin (X 0 , Yo, Z 0 ) of the X-Y-Z axis [block 130].
  • the bone and arthritic models 22, 36 share the same location and orientation relative to the origin (X 0 , Yo, Z 0 ). This position/orientation relationship is generally maintained throughout the process discussed with respect to FIGS 1 B-1 E. Accordingly, movements relative to the origin (X 0 , Yo, Z 0 ) of the bone models 22 and the various descendants thereof (i.e., the restored bone models 28, bone cut locations 30 and drill hole locations 32) are also applied to the arthritic models 36 and the various descendants thereof (i.e., the jig models 38).
  • Maintaining the position/orientation relationship between the bone models 22 and arthritic models 36 and their respective descendants allows the "saw cut and drill hole data" 44 to be integrated into the "jig data” 46 to form the "integrated jig data” 48 employed by the CNC machine 10 to manufacture the customized arthroplasty jigs 2.
  • Computer programs for creating the 3D computer generated arthritic models 36 from the 2D images 16 include: Analyze from AnalyzeDirect, Inc., Overland Park, KS; Insight Toolkit, an open-source software available from the National Library of Medicine Insight Segmentation and Registration Toolkit ("ITK"), www.itk.org; 3D Slicer, an open-source software available from www.slicer.org; Mimics from Materialise, Ann Arbor, Ml; and Paraview available at www.paraview.org.
  • the arthritic models 36 depict the bones 18, 20 in the present deteriorated condition with their respective degenerated joint surfaces 24, 26, which may be a result of osteoarthritis, injury, a combination thereof, etc.
  • the arthritic models 36 are not bone-only models, but include cartilage in addition to bone. Accordingly, the arthritic models 36 depict the arthroplasty target areas 42 generally as they will exist when the customized arthroplasty jigs 2 matingly receive the arthroplasty target areas 42 during the arthroplasty surgical procedure.
  • any movement of the restored bone models 28 from point P to point P' is tracked to cause a generally identical displacement for the "arthritic models" 36 [block 135].
  • computer generated 3D surface models 40 of the arthroplasty target areas 42 of the arthritic models 36 are imported into computer generated 3D arthroplasty jig models 38 [block 140].
  • the jig models 38 are configured or indexed to matingly receive the arthroplasty target areas 42 of the arthritic models 36.
  • Jigs 2 manufactured to match such jig models 38 will then matingly receive the arthroplasty target areas of the actual joint bones during the arthroplasty surgical procedure.
  • the procedure for indexing the jig models 38 to the arthroplasty target areas 42 is a manual process.
  • the 3D computer generated models 36, 38 are manually manipulated relative to each other by a person sitting in front of a computer 6 and visually observing the jig models 38 and arthritic models 36 on the computer screen 9 and manipulating the models 36, 38 by interacting with the computer controls 11.
  • the surface models 40 of the arthroplasty target areas 42 can be imported into the jig models 38, resulting in jig models 38 indexed to matingly receive the arthroplasty target areas 42 of the arthritic models 36.
  • Point P' (X 0- K, Yo-k, Z 0- k) can also be imported into the jig models 38, resulting in jig models 38 positioned and oriented relative to point P' (X 0-K , Y 0- K, Z 0-k ) to allow their integration with the bone cut and drill hole data 44 of [block 125].
  • the procedure for indexing the jig models 38 to the arthroplasty target areas 42 is generally or completely automated, as disclosed in U.S. Patent Application 11/959,344 to Park, which is entitled System and Method for Manufacturing Arthroplasty Jigs, was filed December 18, 2007 and is incorporated by reference in its entirety into this Detailed Description.
  • a computer program may create 3D computer generated surface models 40 of the arthroplasty target areas 42 of the arthritic models 36.
  • the computer program may then import the surface models 40 and point P' (X 0-K , Yo-k, Z 0- k) into the jig models 38, resulting in the jig models 38 being indexed to matingly receive the arthroplasty target areas 42 of the arthritic models 36.
  • the resulting jig models 38 are also positioned and oriented relative to point P' (X 0-K , Y 0-k , Z 0-k ) to allow their integration with the bone cut and drill hole data 44 of [block125].
  • the arthritic models 36 may be 3D volumetric models as generated from the closed-loop process discussed in U.S. Patent Application 11/959,344 filed by Park. In other embodiments, the arthritic models 36 may be 3D surface models as generated from the open-loop process discussed in U.S. Patent Application 11/959,344 filed by Park.
  • the data regarding the jig models 38 and surface models 40 relative to point P' is packaged or consolidated as the "jig data" 46 [block 145].
  • the "jig data" 46 is then used as discussed below with respect to [block 150] in FIG. 1 E.
  • the "saw cut and drill hole data" 44 is integrated with the "jig data” 46 to result in the "integrated jig data” 48 [block 150].
  • the "saw cut and drill hole data” 44, "jig data” 46 and their various ancestors are matched to each other for position and orientation relative to point P and P', the "saw cut and drill hole data” 44 is properly positioned and oriented relative to the "jig data" 46 for proper integration into the "jig data” 46.
  • the resulting "integrated jig data" 48 when provided to the CNC machine 10, results in jigs 2: (1 ) configured to matingly receive the arthroplasty target areas of the patient's bones; and (2) having cut slots and drill holes that facilitate preparing the arthroplasty target areas in a manner that allows the arthroplasty joint implants to generally restore the patient's joint line to its pre- degenerated state or, in other words, the joint's natural alignment.
  • the "integrated jig data" 44 is transferred from the computer 6 to the CNC machine 10 [block 155].
  • Jig blanks 50 are provided to the CNC machine 10 [block 160], and the CNC machine 10 employs the "integrated jig data" to machine the arthroplasty jigs 2 from the jig blanks 50.
  • FIGS. 1 F-11 For a discussion of example customized arthroplasty cutting jigs 2 capable of being manufactured via the above-discussed process, reference is made to FIGS. 1 F-11. While, as pointed out above, the above-discussed process may be employed to manufacture jigs 2 configured for arthroplasty procedures (e.g., total joint replacement, partial joint replacement, joint resurfacing, etc.) involving knees, elbows, ankles, wrists, hips, shoulders, vertebra interfaces, etc., the jig examples depicted in FIGS. 1 F-1 I are for total knee replacement ("TKR") or partial knee replacement.
  • TTKR total knee replacement
  • FIGS. 1 H and 1 1 are, respectively, bottom and top perspective views of an example customized arthroplasty tibia jig 2B.
  • a femur arthroplasty jig 2A may include an interior side or portion 100 and an exterior side or portion 102.
  • the interior side or portion 100 faces and matingly receives the arthroplasty target area 42 of the femur lower end, and the exterior side or portion 102 is on the opposite side of the femur cutting jig 2A from the interior portion 100.
  • the interior portion 100 of the femur jig 2A is configured to match the surface features of the damaged lower end (i.e., the arthroplasty target area 42) of the patient's femur 18.
  • the surfaces of the target area 42 and the interior portion 100 match.
  • a tibia arthroplasty jig 2B may include an interior side or portion 104 and an exterior side or portion 106.
  • the interior side or portion 104 faces and matingly receives the arthroplasty target area 42 of the tibia upper end, and the exterior side or portion 106 is on the opposite side of the tibia cutting jig 2B from the interior portion 104.
  • the interior portion 104 of the tibia jig 2B is configured to match the surface features of the damaged upper end (i.e., the arthroplasty target area 42) of the patient's tibia 20.
  • the surfaces of the target area 42 and the interior portion 104 match.
  • the surface of the interior portion 104 of the tibia cutting jig 2B is machined or otherwise formed into a selected tibia jig blank 5OB and is based or defined off of a 3D surface model 40 of a target area 42 of the damaged upper end or target area 42 of the patient's tibia 20.
  • a patient 12 has a joint 14 (e.g., a knee, elbow, ankle, wrist, shoulder, hip, vertebra interface, etc.) to be replaced (e.g., partially or totally) or resurfaced.
  • the patient 12 has the joint 14 scanned in an imaging machine 10 (e.g., a CT, MRI, etc. machine) to create a plurality of 2D scan images 16 of the bones (e.g., femur 18 and tibia 20) forming the patient's joint 14 (e.g., knee).
  • an imaging machine 10 e.g., a CT, MRI, etc. machine
  • Each scan image 16 is a thin slice image of the targeted bone(s) 18, 20.
  • the scan images 16 are sent to the CPU 7, which may employ an open-loop or closed-loop image analysis along targeted features 42 of the scan images 16 of the bones 18, 20 to generate a contour line for each scan image 16 along the profile of the targeted features 42.
  • the process of generating contour lines for each scan image 16 may occur as disclosed in 11/959,344, which is incorporated by reference in its entirety into this Detailed Description.
  • the CPU 7 compiles the scan images 16 and, more specifically, the contour lines to generate 3D computer surface or volumetric models ("bone models") 22 of the targeted features 42 of the patient's joint bones 18, 20.
  • the targeted features 42 may be the lower or knee joint portions of the patient's femur 18 and the upper or knee joint portions of the patient's tibia 20. More specifically, for the purposes of generating the femur bone models 22, the targeted features 42 may include the condyle portion of the femur and may extend upward to include at least a portion of the femur shaft. Similarly, for purposes of generating the tibia bone models 22, the targeted features 42 may include the plateau portion of the tibia and may extend downward to include at least a portion of the tibia shaft.
  • the "bone models" 22 may be surface models or volumetric solid models respectively formed via an open-loop or closed-loop process such that the contour lines are respectively open or closed loops. Regardless, the bone models 22 are bone-only 3D computer generated models of the joint bones that are the subject of the arthroplasty procedure. The bone models 22 represent the bones in the deteriorated condition in which they existed at the time of the medical imaging of the bones.
  • the "bone models" 22 and/or the image slices 16 are modified to generate a 3D computer generated model that approximates the condition of the patient's bones prior to their degeneration.
  • the resulting 3D computer generated model which is termed a "restored bone model" 28, approximates the patient's bones in a non-degenerated or healthy state and can be used to represent the patient's joint in its natural alignment prior to degeneration.
  • the bone restoration process employed to generate the restored bone model 28 from the bone model 22 or image slices 16 may be as indicated in the process diagram depicted in FIG. 2.
  • the damaged and reference sides of a joint bone to undergo an arthroplasty procedure are identified from the 3D computer generated "bone model" [block 200].
  • the damaged side is the side or portion of the joint bone that needs to be restored in the bone model 22, and the reference side is the side of the joint bone that is generally undamaged or at least sufficiently free of deterioration that it can serve as a reference for restoring the damaged side.
  • reference data or information (e.g., in the form of ellipses, ellipse axes, and/or vectors in the form of lines and/or planes) is then determined from the reference side of the joint bone [block 205].
  • the reference information or data is then applied to the damaged side of the joint bone [block 215].
  • a vector associated with a femur condyle ellipse of the reference side is determined and applied to the damaged side femur condyle and damaged side tibia plateau.
  • a vector associated with the highest anterior and posterior points of a tibia plateau of the reference side is determined and applied to the damaged side femur condyle and damaged side tibia plateau. These vectors are generally parallel with the condyle ellipse and generally parallel with the knee joint line.
  • each joint contour line associated with a 2D image slice of the damaged side of the joint bone is caused to extend to the reference vector or ellipse [block 220].
  • This restoration process is carried out slice-by-slice for the joint contour lines of most, if not all, image slices associated with the damaged side of the joint.
  • the 3D "bone model” is then reconstructed into the 3D "restored bone model” from the restored 2D images slices [block 225].
  • the "restored bone model” 28 can then be employed in the POP process discussed with respect to [block 120] of FIG. 1C.
  • "saw cut and drill hole data” resulting from the POP process is indexed into “jig data” 46 to create “integrated jig data” 48.
  • the "integrated jig data” 48 is utilized by a CNC machine 10 to produce customized arthroplasty jigs 2.
  • Each resulting arthroplasty jig 2 includes an interior portion dimensioned specific to the surface features of the patient's bone that are the focus of the arthroplasty.
  • Each jig 2 also includes saw cut slots and drill holes that are indexed relative to the interior portion of the jig such that saw cuts and drill holes administered to the patient's bone via the jig will result in cuts and holes that will allow joint implants to restore the patient's joint line to a pre-degenerated state or at least a close approximation of the pre-degenerated state.
  • the jigs will be a femur jig and/or a tibia jig.
  • the femur jig will have an interior portion custom configured to match the damaged surface of the lower or joint end of the patient's femur.
  • the tibia jig will have an interior portion custom configured to match the damaged surface of the upper or joint end of the patient's tibia.
  • jigs 2 and systems 4 and methods of producing such jigs are illustrated herein in the context of knees and TKR or partial knee replacement surgery.
  • the jigs 2 and system 4 and methods of producing such jigs can be readily adapted for use in the context of other joints and joint replacement or resurfacing surgeries, e.g., surgeries for elbows, shoulders, hips, etc. Accordingly, the disclosure contained herein regarding the jigs 2 and systems 4 and methods of producing such jigs should not be considered as being limited to knees and TKR or partial knee replacement surgery, but should be considered as encompassing all types of joint surgeries.
  • FIG. 3A which is a coronal view of a distal or knee joint end of a femur restored bone model 28A
  • points D-i, D 2 represent the most distal tangent contact points of each of the femoral lateral and medial condyles 300, 302, respectively.
  • points D 1 , D 2 represent the lowest contact points of each of the femoral lateral and medial condyles 300, 302 when the knee is in zero degree extension.
  • Line DiD 2 can be obtained by extending across the two tangent contact points Di, D 2 .
  • line DiD 2 is parallel or nearly parallel to the joint line of the knee when the knee is in zero degree extension.
  • the reference line N1 is perpendicular to line DiD 2 at point D 1 and can be considered to represent a corresponding 2D image slice 16 taken along line N1.
  • the reference line N2 is perpendicular to line DiD 2 at point D 2 and can be considered to represent a corresponding 2D image slice 16 taken along line N2.
  • the cross- sectional 2D image slices 16 taken along lines N1 , N2 are perpendicular or nearly perpendicular to the tangent line DiD 2 and joint line.
  • FIG. 3B which is an axial view of a distal or knee joint end of a femur restored bone model 28A
  • points Pi, P 2 represent the most posterior tangent contact points of each of the femoral lateral and medial condyles 300, 302, respectively.
  • points Pi, P 2 represent the lowest contact points of each of the femoral lateral and medial condyles 300, 302 when the knee is in 90 degree extension.
  • Line PiP 2 can be obtained by extending across the two tangent contact points P 1 , P 2 .
  • line PiP 2 is parallel or nearly parallel to the joint line of the knee when the knee is in 90 degree flexion.
  • the reference line N3 is perpendicular to line PiP 2 at point Pi and can be considered to represent a corresponding 2D image slice 16 taken along line N3.
  • the lines N1 , N3 may occupy generally the same space on the femur restored bone model 28A or lines N1 , N3 may be offset to a greater or lesser extent from each other along the joint line of the knee.
  • the reference line N4 is perpendicular to line PiP 2 at point P 2 and can be considered to represent a corresponding 2D image slice 16 taken along line N4.
  • the lines N2, N4 may occupy generally the same space on the femur restored bone model 28A or lines N2, N4 may be offset to a greater or lesser extent from each other along the joint line of the knee.
  • the cross-sectional 2D image slices 16 taken along lines N3, N4 are perpendicular or nearly perpendicular to the tangent line PiP 2 and joint line.
  • points Ri, R 2 represent the lowest tangent contact points of each of the tibial lateral and medial plateaus 304, 306, respectively.
  • points R-i, R 2 represent the lowest points of contact of the tibia plateau with the femur condyles when the knee is in zero degree extension.
  • Line RiR 2 can be obtained by extending across the two tangent contact points Ri, R 2 .
  • line RiR 2 is parallel or nearly parallel to the joint line of the knee when the knee is in zero degree extension.
  • line RiR 2 is parallel or nearly parallel to line DiD 2 .
  • line RiR 2 is parallel or nearly parallel to line PiP 2 .
  • the reference line N1 is perpendicular to line RiR 2 at point Ri and can be considered to represent a corresponding 2D image slice 16 taken along line N1.
  • the reference line N2 is perpendicular to line RiR 2 at point R 2 and can be considered to represent a corresponding 2D image slice 16 taken along line N2.
  • the cross- sectional 2D image slices 16 taken along lines N1 , N2 are perpendicular or nearly perpendicular to the tangent line RiR 2 and joint line. Because both the femur and tibia restored bone modesl 28A, 28B represent the knee joint 14 prior to degeneration or damage, lines N1 , N2 of the femur restored model 28A in FIG. 1A align with and may be the same as lines N1 , N2 of the tibia restored bone model 28B when the knee joint is in zero degree extension. Thus, points Di, D 2 align with points Ri, R 2 when the knee joint is in zero degree extension.
  • FIG. 3D represents the femur and tibia restored bone models 28A, 28B in the views depicted in FIGS. 3A and 3C positioned together to form a knee joint 14.
  • FIG. 3D shows the varus/valgus alignment of the femur and tibia restored bone models 28A, 28B intended to restore the patient's knee joint 14 back to its pre-OA or pre- degenerated state, wherein the knee joint 14 is shown in zero degree extension and in its natural alignment (e.g., neutral, varus or valgus) as the knee joint existed prior to degenerating.
  • the respective locations of the lateral collateral ligament (“LCL”) 308 and medial collateral ligament (“MCL”) 310 are indicated in FIG. 3D by broken lines and serve as stabilizers for the side-to-side stability of the knee joint 14.
  • LCL lateral collateral ligament
  • MCL medial collateral ligament
  • [013O]As can be understood from FIGS. 3A, 3C and 3D, when the knee joint 14 is in zero degree extension, lines N1 , N2 are parallel or nearly parallel to the LCL 308 and MCL 310.
  • Gap t1 represents the distance between the tangent contact point D 1 of the femoral lateral condyle 300 and the tangent contact point Ri of the tibia lateral plateau 304.
  • Gap t2 represents the distance between the tangent contact point D 2 of the femoral medial condyle 302 and the tangent contact point R 2 of the medial tibia plateau 306.
  • t1 is substantially equal to t2 such that the difference between t1 and t2 is less than one millimeter (e.g., [t1-t2] « 1 mm). Accordingly, line DiD 2 is parallel or nearly parallel to the joint line and line RiR 2 .
  • FIG. 3E represents the femur and tibia restored bone models 28A, 28B in the views depicted in FIGS. 3B and 3C positioned together to form a knee joint 14.
  • FIG. 3E shows the varus/valgus alignment of the femur and tibia restored bone models 28A, 28B intended to restore the patient's knee joint 14 back to its pre-OA or pre- degenerated state, wherein the knee joint 14 is shown in 90 degree flexion and in its natural alignment (e.g., neutral, varus or valgus) as the knee joint existed prior to degenerating.
  • the respective locations of the lateral collateral ligament (“LCL”) 308 and medial collateral ligament (“MCL”) 310 are indicated in FIG. 3E by broken lines and serve as stabilizers for the side-to-side stability of the knee joint 14.
  • LCL lateral collateral ligament
  • MCL medial collateral ligament
  • Gap hi represents the distance between the tangent contact point Pi of the femoral lateral condyle 300 and the tangent contact point Ri of the tibia lateral plateau 304.
  • Gap h2 represents the distance between the tangent contact point P 2 of the femoral medial condyle 302 and the tangent contact point R 2 of the medial tibia plateau 306.
  • hi is substantially equal to h2 such that the difference between hi and h2 is less than one millimeter (e.g., [h1-h2] « 1 mm). Accordingly, line PiP 2 is parallel or nearly parallel to the joint line and line RiR 2 .
  • FIG. 3F is a sagittal view of the femoral medial condyle ellipse 300 and, more specifically, the N1 slice of the femoral medial condyle ellipse 300 as taken along line N1 in FIG. 3A.
  • the contour line Ni in FIG. 3F represents the N1 image slice of the femoral medial condyle 300.
  • the N1 image slice may be generated via such imaging methods as MRI, CT, etc.
  • An ellipse contour 305 of the medial condyle 300 can be generated along contour line N-i.
  • the ellipse 305 corresponds with most of the contour line Ni for the N1 image slice, including the posterior and distal regions of the contour line N 1 and portions of the anterior region of the contour line Ni. As can be understood from FIG. 3F and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line Ni in a region of interest or region of contact Aj that corresponds to an region of the femoral medial condyle surface that contacts and displaces against the tibia medial plateau.
  • the ellipse 305 can be used to determine the distal extremity of the femoral medial condyle 300, wherein the distal extremity is the most distal tangent contact point Di of the femoral medial condyle 300 of the N1 slice.
  • the ellipse 305 can be used to determine the posterior extremity of the femoral medial condyle 300, wherein the posterior extremity is the most posterior tangent contact point P 1 ' of the femoral medial condyle 300 of the N1 slice.
  • the ellipse origin point O-i, the ellipse major axis Pi'PP-i' and ellipse minor axis D 1 DDi can be obtained based on the elliptical shape of the N1 slice of the medial condyle 300 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
  • the region of contact Aj represents or corresponds to the overlapping surface region between the medial tibia plateau 304 and the femoral medial condyle 300 along the N1 image slice.
  • the region of contact Aj for the N1 image slice is approximately 120° of the ellipse 305 of the N1 image slice from just proximal the most posterior tangent contact point P 1 ' to just anterior the most distal tangent contact point D 1 .
  • 3G is a sagittal view of the femoral lateral condyle ellipse 302 and, more specifically, the N2 slice of the femoral lateral condyle ellipse 302 as taken along line N2 in FIG. 3A.
  • the contour line N 2 in FIG. 3G represents the N2 image slice of the femoral lateral condyle 302.
  • the N2 image slice may be generated via such imaging methods as MRI, CT, etc.
  • An ellipse contour 305 of the lateral condyle 302 can be generated along contour line N 2 .
  • the ellipse 305 corresponds with most of the contour line N 2 for the N2 image slice, including the posterior and distal regions of the contour line N 2 and portions of the anterior region of the contour line N 2 . As can be understood from FIG. 3G and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line N 2 in a region of interest or region of contact Aj that corresponds to an region of the femoral lateral condyle surface that contacts and displaces against the tibia lateral plateau.
  • the ellipse 305 can be used to determine the distal extremity of the femoral lateral condyle 302, wherein the distal extremity is the most distal tangent contact point D 2 of the femoral lateral condyle 302 of the N2 slice.
  • the ellipse 305 can be used to determine the posterior extremity of the femoral lateral condyle 302, wherein the posterior extremity is the most posterior tangent contact point P 2 ' of the femoral lateral condyle 302 of the N2 slice.
  • the ellipse origin point O 2 , the ellipse major axis P 2 1 PP 2 ' and ellipse minor axis D 2 DD 2 can be obtained based on the elliptical shape of the N2 slice of the lateral condyle 302 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
  • the region of contact Aj represents or corresponds to the overlapping surface region between the lateral tibia plateau 306 and the femoral lateral condyle 302 along the N2 image slice.
  • the region of contact Aj for the N2 image slice is approximately 120° of the ellipse 305 of the N2 image slice from just proximal the most posterior tangent contact point P 2 ' to just anterior the most distal tangent contact point D 2 .
  • FIG. 3H is a sagittal view of the femoral medial condyle ellipse 300 and, more specifically, the N3 slice of the femoral medial condyle ellipse 300 as taken along line N3 in FIG. 3B.
  • the contour line N 3 in FIG. 3H represents the N3 image slice of the femoral medial condyle 300.
  • the N3 image slice may be generated via such imaging methods as MRI, CT, etc.
  • An ellipse contour 305 of the medial condyle 300 can be generated along contour line N 3 .
  • the ellipse 305 corresponds with most of the contour line N 3 for the N3 image slice, including the posterior and distal regions of the contour line N 3 and portions of the anterior region of the contour line N 3 . As can be understood from FIG. 3H and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line N 3 in a region of interest or region of contact A 1 that corresponds to an region of the femoral medial condyle surface that contacts and displaces against the tibia medial plateau.
  • the ellipse 305 can be used to determine the distal extremity of the femoral medial condyle 300, wherein the distal extremity is the most distal tangent contact point Di' of the femoral medial condyle 300 of the N3 slice.
  • the ellipse 305 can be used to determine the posterior extremity of the femoral medial condyle 300, wherein the posterior extremity is the most posterior tangent contact point Pi of the femoral medial condyle 300 of the N3 slice.
  • the ellipse origin point O 3 , the ellipse major axis P 1 PP 1 and ellipse minor axis D-i'DD-T can be obtained based on the elliptical shape of the N3 slice of the medial condyle 300 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
  • the region of contact Ai represents or corresponds to the overlapping surface region between the medial tibia plateau 304 and the femoral medial condyle 300 along the N3 image slice.
  • the region of contact Aj for the N3 image slice is approximately 120° of the ellipse 305 of the N3 image slice from just proximal the most posterior tangent contact point Pi to just anterior the most distal tangent contact point D-T.
  • FIG. 31 is a sagittal view of the femoral lateral condyle ellipse 302 and, more specifically, the N4 slice of the femoral lateral condyle ellipse 302 as taken along line N4 in FIG. 3B.
  • the contour line N 4 in FIG. 31 represents the N4 image slice of the femoral lateral condyle 302.
  • the N4 image slice may be generated via such imaging methods as MRI, CT, etc.
  • An ellipse contour 305 of the lateral condyle 302 can be generated along contour line N 4 .
  • the ellipse 305 corresponds with most of the contour line N 4 for the N4 image slice, including the posterior and distal regions of the contour line N 4 and portions of the anterior region of the contour line N 4 . As can be understood from FIG. 3G and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line N 4 in a region of interest or region of contact Aj that corresponds to an region of the femoral lateral condyle surface that contacts and displaces against the tibia lateral plateau.
  • the ellipse 305 can be used to determine the distal extremity of the femoral lateral condyle 302, wherein the distal extremity is the most distal tangent contact point D 2 Of the femoral lateral condyle 302 of the N4 slice.
  • the ellipse 305 can be used to determine the posterior extremity of the femoral lateral condyle 302, wherein the posterior extremity is the most posterior tangent contact point P 2 of the femoral lateral condyle 302 of the N4 slice.
  • the ellipse origin point O 4 , the ellipse major axis P 2 PP 2 and ellipse minor axis D 2 1 DD 2 ' can be obtained based on the elliptical shape of the N4 slice of the lateral condyle 302 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
  • the region of contact Aj represents or corresponds to the overlapping surface region between the lateral tibia plateau 306 and the femoral lateral condyle 302 along the N4 image slice.
  • the region of contact Aj for the N4 image slice is approximately 120° of the ellipse 305 of the N4 image slice from just proximal the most posterior tangent contact point P 2 to just anterior the most distal tangent contact point D 2 '.
  • FIG. 4A is a sagital view of the lateral tibia plateau 304 with the lateral femur condyle ellipse 305 of the N1 slice of FIG. 3F superimposed thereon.
  • FIG. 4B is a sagital view of the medial tibia plateau 306 with the lateral femur condyle ellipse 305 of the N2 slice of FIG. 3G superimposed thereon.
  • the motion mechanism for a human knee joint operates as follows.
  • the femoral condyles glide on the corresponding tibia plateaus as the knee moves, and in a walking theme, as a person's leg swings forward, the femoral condyles and the corresponding tibia plateaus are not under the compressive load of the body.
  • the knee joint movement is a sliding motion of the tibia plateaus on the femoral condyles coupled with a rolling of the tibia plateaus on the femoral condyles in the same direction.
  • the motion mechanism of the human knee as the femur condyles and tibia plateaus move relative to each other between zero degree flexion and 90 degree flexion has associated motion vectors.
  • the geometrical features of the femur condyles and tibia plateaus can be analyzed to determine vectors Ui, U 2 , V-i, V 2 , V 3 , V 4 that are associated with image slices N1 , N2, N3 and N4. These vectors Ui, U 2 , V-i, V 2 , V 3 , V 4 correspond to the motion vectors of the femur condyles and tibia plateaus moving relative to each other.
  • the determined vectors Ui, U 2 , Vi, V 2 , V 3 , V 4 associated with a healthy side of a joint 14 can be applied to a damaged side of a joint 14 to restore the bone model 22 to create a restored bone model 28.
  • the knee joint motion mechanism may be utilized to determine the vector references for the restoration of bone models 22 to restored bone models 28.
  • the Ui and U 2 vectors respectively correspond to the major axes P 1 1 PPi' and P 2 1 PP 2 ' of the ellipses 305 of the N1 and N2 slices.
  • the Ui and U 2 vectors may be considered to represent both vector lines and vector planes that are perpendicular to the joint line.
  • the Ui and U 2 vectors are based on the joint line reference between the femur and the tibia from the zero degree flexion (full extension) to 90 degree flexion.
  • the Ui and U 2 vectors represent the momentary sliding movement force from zero degree flexion of the knee to any degree of flexion up to 90 degree flexion.
  • the Ui and U 2 vectors which are the vectors of the femoral condyles, are generally parallel to and project in the same direction as the Vi and V 2 vectors of the tibia plateaus 321 , 322.
  • the vector planes associated with these vectors U-i, U 2 , V-i, V 2 are presumed to be parallel or nearly parallel to the joint line of the knee joint 14 represented by restored bone model 28A, 28B such as those depicted in FIGS. 3D and 3E.
  • the distal portion of the ellipses 305 extend along and generally correspond with the curved surfaces 321 , 322 of the tibia plateaus.
  • the curved portions 321 , 322 of the tibia plateaus that generally correspond with the distal portions of the ellipses 305 represent the tibia contact regions A k , which are the regions that contact and displace along the femur condyles and correspond with the condyle contact regions Aj discussed with respect to FIGS. 3F-3I.
  • FIG. 4C is a top view of the tibia plateaus 304, 306 of a restored tibia bone model 28B.
  • FIG. 4D is a sagital cross section through a lateral tibia plateau 304 of the restored bone model 28B of FIG. 4C and corresponding to the N3 image slice of FIG. of FIG. 3B.
  • FIG. 4E is a sagital cross section through a medial tibia plateau 306 of the restored bone model 28B of FIG. 4C and corresponding to the N4 image slice of FIG. of FIG. 3B.
  • each tibia plateau 304, 306 includes a curved recessed condyle contacting surface 321 , 322 that is generally concave extending anterior/posterior and medial/lateral.
  • Each curved recessed surface 321 , 322 is generally oval in shape and includes an anterior curved edge 323, 324 and a posterior curved edge 325, 326 that respectively generally define the anterior and posterior boundaries of the condyle contacting surfaces 321 , 322 of the tibia plateaus 304, 306.
  • the medial tibia plateau 306 may have curved edges 324, 326 that are slightly more defined than the curved edges 323, 325 of the lateral tibia plateau 304.
  • Anterior tangent lines TQ 3 , TQ 4 can be extended tangentially to the most anterior location on each anterior curved edge 323, 324 to identify the most anterior points Q3, Q4 of the anterior curved edges 323, 324.
  • Posterior tangent lines TQ 3 ', TQ 4 ' can be extended tangentially to the most posterior location on each posterior curved edge 325, 326 to identify the most posterior points Q3', Q4' of the posterior curved edges 325, 326.
  • Such anterior and posterior points may correspond to the highest points of the anterior and posterior portions of the respective tibia plateaus.
  • Vector line V3 extends through anterior and posterior points Q3, Q3'
  • vector line V4 extends through anterior and posterior points Q4, Q4'.
  • Each vector line V3, V4 may align with the lowest point of the anterior-posterior extending groove/valley that is the elliptical recessed tibia plateau surface 321 , 322.
  • the lowest point of the anterior-posterior extending groove/valley of the elliptical recessed tibia plateau surface 321 , 322 may be determined via simple ellipsoid calculus.
  • Each vector V3, V4 will be generally parallel to the anterior-posterior extending valleys of its respective elliptical recessed tibia plateau surface 321 , 322 and will be generally perpendicular to it respective tangent lines TQ 3 , TQ 4 , TQ 3 -, TQ 4 '.
  • the anterior-posterior extending valleys of the elliptical recessed tibia plateau surfaces 321 , 322 and the vectors V3, V4 aligned therewith may be generally parallel with and even exist within the N3 and N4 image slices depicted in FIG. 3B.
  • the V 3 and V 4 vectors which are the vectors of the tibia plateaus, are generally parallel to and project in the same direction as the other tibia plateau vectors Vi and V 2 and, as a result, the femur condyle vectors U-i, U 2 .
  • the vector planes associated with these vectors Ui, U 2 , V-i, V 2 , V 3 and V 4 are presumed to be parallel or nearly parallel to the joint line of the knee joint 14 represented by restored bone models 28A, 28B such as those depicted in FIGS. 3D and 3E.
  • tibia plateau vectors Vi and V 2 in the N1 and N2 image slices can be obtained by superimposing the femoral condyle ellipses 305 of the N1 and N2 image slices onto their respective tibia plateaus.
  • the ellipses 305 correspond to the elliptical tibia plateau surfaces 321 , 322 along the condyle contact regions A k of the tibia plateaus 304, 306.
  • the anterior and posterior edges 323, 324, 325, 326 of the elliptical tibia plateau surfaces 321 , 322 can be determined at the locations where the ellipses 305 cease contact with the plateau surfaces 321. 322.
  • edges 323, 324, 325, 326 are marked as anterior and posterior edge points Q1 , Q1 ', Q2, Q2' in respective image slices N1 and N2.
  • Vector lines V1 and V2 are defined by being extended through their respective edge points Q1 , Q1 ', Q2, Q2'.
  • image slices N1 , N2, N3 and N4 and their respective vectors V-i, V 2 , V 3 and V 4 may be medially-laterally spaced apart a greater or lesser extent, depending on the patient. With some patients, the N1 and N3 image slices and/or the N2 and N4 image slices may generally medially-laterally align.
  • a bone model 22 includes a femur bone model 22A and a tibia bone model 22B.
  • the bone models 22A, 22B are 3D bone- only computer generated models compiled via any of the above-mentioned 3D computer programs from a number of image slices 16, as discussed with respect to [blocks 100] - [block 110] of FIGS. 1A-1 C.
  • the medial side of the bone models will be generally undamaged and the lateral side of the bone models will be damaged, or vice versa.
  • FIG. 4F which is a posterior-lateral perspective view of femur and tibia bone models 22A, 22B forming a knee joint 14
  • the medial sides 302, 306 of the bone models 22A, 22B are in a generally non-deteriorated condition and the lateral sides 300, 304 of the bone models 22A, 22B are in a generally deteriorated or damaged condition.
  • the lateral sides 300, 304 of the femur and tibia bone models 22A, 22B depict the damaged bone attrition on the lateral tibia plateau and lateral femoral condyle.
  • the lateral sides 300, 304 illustrate the typical results of OA, specifically joint deterioration in the region of arrow Ls between the femoral lateral condyle 300 and the lateral tibia plateau 304, including the narrowing of the lateral joint space 330 as compared to medial joint space 332.
  • medial sides 302, 306 of the bone models 22A, 22B are generally undamaged, these sides 302, 306 will be identified as the reference sides of the 3D bone models 22A, 22B (see [block 200] of FIG. 2).
  • these sides 300, 304 of the bone models 22A, 22B will be identified as the damaged sides of the 3D bone models 22A, 22B (see [block 200] of FIG. 2) and targeted for restoration, wherein the images slices 16 associated with the damaged sides 300, 304 of the bone models 22A, 22B are restored slice-by-slice.
  • Reference vectors like the U-i, U 2 , ⁇ , V 2 , V 3 , V 4 vectors may be determined from the reference side of the bone models 22A, 22B (see [block 205] of FIG. 2).
  • the reference vectors U 2 , V 2 V 4 may be applied to the damaged sides 300, 304 to restore the damaged sides 300, 304 2D image slice by 2D image slice (see [block 215] - [block 220] of FIG. 2).
  • the restored image slices are then recompiled into a 3D computer generated model, the result being the 3D computer generated restored bone models 28A, 28B (see [block 225] of FlG. 2).
  • FIG. 4G which is a posterior-lateral perspective view of femur and tibia restored bone models 28A, 28B forming a knee joint 14
  • the lateral sides 300, 304 of the restored bone models 28A, 28B have been restored such that the lateral and medial joint spaces 330, 332 are generally equal.
  • the distance t1 between the lateral femur condyle and lateral tibia plateau is generally equal to the distance t2 between the medial femur condyle and the medial tibia plateau.
  • the medial sides 302, 306 are the undamaged reference sides 302, 304 and the lateral sides 300, 304 the damaged sides 300, 304
  • the ellipses and vectors associated with the reference side femur condyle 302 e.g., the ellipse 305 of the N2 slice and the vector U 2
  • the damaged side femur condyle 300 and damaged side tibia plateau 304 can be applied to the damaged side femur condyle 300 and damaged side tibia plateau 304 to restore the damaged condyle 300 and damaged plateau 304.
  • the ellipses and vectors associated with the reference side femur condyle 302 as applied to the reference side tibia plateau 306 can be applied to the damaged side femur condyle 300 and damaged side tibia plateau 304 to restore the damaged condyle 300 and damaged plateau 304.
  • the ellipses and vectors associated with the reference side femur condyle 302 as applied to the reference side tibia plateau 306 can be applied to the damaged side femur condyle 300 and damaged side tibia plateau 304 to restore the damaged condyle 300 and damaged plateau 304.
  • the vectors associated with the reference side tibia plateau 306 can be applied to the damaged side femur condyle 300 and damaged side tibia plateau 304 to restore the damaged condyle 300 and damaged plateau 304.
  • the identification of the reference sides, the damaged sides, the reference vectors and the application thereof would be reversed from examples given in this paragraph.
  • FIGS. 5A-5B are coronal views of a femur bone model 22A
  • FIG. 5B is a coronal view of a tibia bone model 22B.
  • the medial femur condyle 302 is deteriorated in region 400 such that the most distal point of the medial condyle 302 fails to intersect point D 2 on line D 1 D 2 , which will be corrected once the femur bone model 22A is properly restored to a restored femur bone model 28A such as that depicted in FIG. 3A.
  • FIG. 5A the medial femur condyle 302 is deteriorated in region 400 such that the most distal point of the medial condyle 302 fails to intersect point D 2 on line D 1 D 2 , which will be corrected once the femur bone model 22A is properly restored to a restored femur bone model 28A such as that depicted in FIG. 3A.
  • the medial tibia plateau 306 is deteriorated in region 401 such that the lowest point of the medial plateau 306 fails to intersect point R 2 on line RiR 2 , which will be corrected once the tibia bone model 22B is properly restored to a restored tibia bone model 28B such as that depicted in FIG. 3C. Because the medial condyle 302 and medial plateau 306 of the bone models 22A, 22B are deteriorated, they will be identified as the damaged sides and targeted for restoration ([block 200] of FIG. 2).
  • the lateral condyle 300 and lateral plateau 304 of the bone models 22A, 22B are in a generally non-deteriorated state, the most distal point Di of the lateral condyle 300 intersecting line DiD 2 , and the lowest point Ri of the lateral plateau 304 intersecting line RiR 2 . Because the lateral condyle 300 and lateral plateau 304 of the bone models 22A, 22B are generally in a non-deteriorated state, they will be identified as the reference sides and the source of information used to restore the damaged sides 302, 306 ([block 200] of FIG. 2).
  • image slice information or data such as ellipses and vectors can be determined.
  • an ellipse 305 and vector Ui can be determined for the N1 slice ([block 205] of FIG. 2).
  • the data or information associated with one or more of the various slices 16 of the lateral condyle 300 is applied to or superimposed on one or more image slices 16 of the medial condyle 302 ([block 215] of FIG. 2).
  • FIG. 5C1 which is an N2 image slice of the medial condyle 302 as taken along the N2 line in FIG.
  • data or information pertaining to the N1 slice is applied to or superimposed on the N2 image slice to determine the extent of restoration needed in deteriorated region 400.
  • the data or information pertaining to the N1 slice may be in the form of the N1 slice's ellipse 305-N1 , vector U-i, ellipse axes P-TPPi', D1DD1, etc.
  • the ellipse 305-N1 will inherently contain its major and minor axis information, and the vector Ui of the N1 slice will correspond to the major axis of the 305-N1 ellipse and motion vector of the femur condyles relative to the tibia plateaus.
  • the major axis of the 305- N1 and the vector Ui of the N1 slice are generally parallel to the joint line plane.
  • the N1 slice information may be applied only to the contour line of the N2 slice or another specific slice.
  • information of a specific reference slice may be applied to a contour line of a single specific damaged slice with which the specific reference slice is coordinated with via manual selection or an algorithm for automatic selection.
  • the N1 slice information may be manually or automatically coordinated to be applied only to the N2 slice contour line
  • the N3 slice information may be manually or automatically coordinated to be applied only to the N4 slice contour line.
  • Other reference side slice information may be similarly coordinated with and applied to other damaged side slice contours in a similar fashion.
  • Coordination between a specific reference slice and a specific damaged slice may be according to various criteria, for example, similarity of the function and/or shape of the bone regions pertaining to the specific reference slice and specific damaged slice and/or similarity of accuracy and dependability for the specific reference slice and specific damaged slice.
  • the N1 slice information or the slice information of another specific slice may be the only image slice used as a reference slice for the contour lines of most, if not all, of the damaged slices.
  • the N1 image slice information may be the only reference side information used (i.e., to the exclusion of, for example, the N3 image slice information) in the restoration of the contour lines of most, if not each, damaged side image slice (i.e., the N1 image slice information is applied to the contour lines of the N2 and N4 image slices and the N3 image slice information is not used).
  • the appropriate single reference image slice may be identified via manual identification or automatic identification via, for example, an algorithm. The identification may be according to certain criteria, such as, for example, which reference image slice is most likely to contain the most accurate and dependable reference information.
  • the reference information applied to the contour lines of the damaged image slices may be from more than one image slice.
  • information from two or more reference image slices e.g., N1 image slice and N3 image slice
  • the information from the two or more reference image slices may be combined (e.g., averaged) and the combined information then applied to the contour lines of individual damaged image slices.
  • the reference side data or information may include a distal tangent line DTL and a posterior tangent line PTL.
  • the distal tangent line DTL may tangentially intersect the extreme distal point of the reference image slice and be parallel to the major axis of the reference image slice ellipse.
  • the distal tangent line DTL may tangentially intersect the extreme distal point Di of the reference N1 image slice and be parallel to the major axis P 1 1 PPi' of the reference N1 image slice ellipse 305-N1.
  • the posterior tangent line PTL may tangentially intersect the extreme posterior point of the reference image slice and be parallel to the major axis of the reference image slice ellipse.
  • the posterior tangent line PTL may tangentially intersect the extreme posterior point P-i of the reference N1 image slice and be parallel to the minor axis D 1 DD 1 of the reference N1 image slice ellipse 305- N1.
  • femur condlyle image slices N1 , N2, N3, N4 will have an origin O 1 , O 2 , O 3 , O 4 associated with the ellipse 305 used to describe or define the condyle surfaces of each slice N1 , N2, N3, N4.
  • the various origins O 1 , O 2 , O 3 , O 4 will generally align to form a femur axis AOF extending medial-lateral through the femur bone model 22A as depicted in FIG. 5A.
  • This axis AO F can be used to properly orient reference side data (e.g., the ellipse 305-N1 and vector Ui of the N1 slice in the current example) when being superimposed onto a damaged side image slice (e.g., the N2 image slice in the current example).
  • reference side data e.g., the ellipse 305-N1 and vector Ui of the N1 slice in the current example
  • a damaged side image slice e.g., the N2 image slice in the current example.
  • the orientation of the data or information of the reference side does not change as the data or information is being superimposed or otherwise applied to the damaged side image slice.
  • the orientation of the ellipse 305-N1 and vector Ui of the N1 slice is maintained or held constant during the superimposing of such reference information onto the N2 slice such that the reference information does not change with respect to orientation or spatial ratios relative to the femur axis AO F when being superimposed on or otherwise applied to the N2 slice.
  • the reference side information since the reference side information is indexed to the damaged side image slice via the axis AOF and the orientation of the reference side information does not change in the process of being applied to the damaged side image slice, the reference side information can simply be adjusted with respect to size, if needed and as described below with reference to FIGS. 5C2 and 5C3, to assist in the restoration of the damaged side image slice.
  • the reference side information may be positionally indexed relative to the damaged side image slices via the femur reference axis AOF when being applied to the damaged side image slices
  • other axes may be used for indexing besides an AO axis that runs through or near the origins of the respective image slice ellipses.
  • a reference axis similar to the femur reference axis AOF and running medial-lateral may pass through other portions of the femur bone model 22A or outside the femur bone model 22A and may be used to positionally index the reference side information to the respective damaged side image slices.
  • the contour line N 2 of the N2 image slice may be generated via an open or closed loop computer analysis of the cortical bone of the medial condyle 302 in the N2 image slice, thereby outlining the cortical bone with an open or closed loop contour line N 2 .
  • the resulting 3D models 22, 28 will be 3D volumetric models.
  • the resulting 3D models 22, 28 will be 3D surface models.
  • the reference information from a reference image slice may be substantially similar in characteristics (e.g., size and/or ratios) to the damaged image slice contour line to be simply applied to the contour line
  • the reference information may need to be adjusted with respect to size and/or ratio prior to using the reference information to restore the damaged side contour line as discussed herein with respect to FIGS. 5C1 and 5D.
  • FIG. 5C2 which is the same view as FIG.
  • the reference information should be increased prior to being used to restore the damaged side contour line, in other words, the N1 information (e.g., the N1 ellipse, vector and tangent lines PTL, DTL), when applied to the contour line of the N2 image slice based on the AO axis discussed above, is too small for at least some of the reference information to match up with at least some of the damaged contour line at the most distal or posterior positions. Accordingly, as can be understood from a comparison of FIGS.
  • the N1 information e.g., the N1 ellipse, vector and tangent lines PTL, DTL
  • the N1 information may be increased in size as needed, but maintaining its ratios (e.g., the ratio of the major/minor ellipse axes to each other and the ratios of the offsets of the PTL, DTL from the origin or AO axis), until the N1 information begins to match a boundary of the contour line of the N2 image slice.
  • the N1 ellipse is superimposed over the N2 image slice and positionally coordinated with the N2 image slice via the AO axis.
  • the N1 ellipse is smaller than needed to match the contour line of the N2 image slice and is expanded in size until a portion (e.g., the PTL and Pi' of the N1 ellipse) matches a portion (e.g., the most posterior point) of the elliptical contour line of the N2 image slice.
  • a similar process can also be applied to the PTL and DTL, maintaining the ratio of the PTL and DTL relative to the AO axis.
  • the N1 information now corresponds to at least a portion of the damaged image side contour line and can now be used to restore the contour line as discussed below with respect to FIG. 5D.
  • the reference information should be decreased prior to being used to restore the damaged side contour line.
  • the N1 information e.g., the N1 ellipse, vector and tangent lines PTL, DTL
  • the reference information when applied to the contour line of the N2 image slice based on the AO axis discussed above, is too large for at least some of the reference information to match up with at least some of the damaged contour line at the most distal or posterior positions. Accordingly, as can be understood from a comparison of FIGS.
  • the N1 information may be decreased in size as needed, but maintaining its ratios (e.g., the ratio of the major/minor ellipse axes to each other and the ratios of the offsets of the PTL, DTL from the origin or AO axis), until the N1 information begins to match a boundary of the contour line of the N2 image slice.
  • the N1 ellipse is superimposed over the N2 image slice and positionally coordinated with the N2 image slice via the AO axis.
  • the N1 ellipse is larger than needed to match the contour line of the N2 image slice and is reduced in size until a portion (e.g., the PTL and P-i' of the N1 ellipse) matches a portion (e.g., the most posterior point) of the elliptical contour line of the N2 image slice.
  • a similar process can also be applied to the PTL and DTL, maintaining the ratio of the PTL and DTL relative to the AO axis.
  • the N1 information now corresponds to at least a portion of the damaged image side contour line and can now be used to restore the contour line as discussed below with respect to FIG. 5D.
  • FIG. 5D which is the N2 image slice of FIG. 5C1 subsequent to restoration
  • the contour line N 2 of the N2 image slice has been extended out to the boundaries of the ellipse 305-N1 in the restored region 402 ([block 220] of FIG. 2).
  • This process of applying information e.g., ellipses 305 and vectors
  • This process of applying information is repeated slice-by-slice for most, if not all, image slices 16 forming the damaged side of the femur bone model 22A.
  • the image slices used to form the femur bone model 22A are recompiled via 3D computer modeling programs into a 3D femur restored bone model 28A similar to that depicted in FIG. 3A ([block 225] of FIG. 2).
  • the damaged contour line N 2 of the N2 image slice is adjusted based on the ratio of the reference side major axis major axis P-TPPi' to the reference side minor axis D- 1 DD 1 .
  • the damaged contour line N 2 of the N2 image slice is adjusted based on reference side ellipse 305-N1. Therefore, the damaged contour lines of the damaged side image slices can be assessed to be enlarged according to the ratios pertaining to the ellipses of the reference side image slices.
  • the joint contour lines of the damaged side image slice may be manipulated so the joint contour line is increased along its major axis and/or its minor axis.
  • the major axis and minor axis of the condyle ellipse varies from person to person. If the major axis is close to the minor axis in the undamaged condyle, then the curvature of the undamaged condyle is close to a round shape.
  • the contour of the damaged condyle in the restoration procedure, can be assessed and increased in a constant radius in both the major and minor axis.
  • the bone restoration may increase the major axis length in order to modify the damaged condyle contour.
  • a damaged side tibia plateau can also be restored by applying data or information from the reference side femur condyle to the damaged side tibia plateau.
  • the damaged side tibia plateau will be the medial tibia plateau 306, and the reference side femur condyle will be the lateral femur condyle 300.
  • the process of restoring the damaged side tibia plateau 306 begins by analyzing the damaged side tibia plateau 306 to determine at least one of a highest anterior point or a highest posterior point of the damaged side tibia plateau 306.
  • the damaged tibia plateau 306 can be analyzed via tangent lines to identify the surviving high point Q4, Q4'. For example, if the damage to the medial tibia plateau 306 was concentrated in the posterior region such that the posterior highest point Q4' no longer existed, the tangent line TQ 4 could be used to identify the anterior highest point Q4.
  • tangent line TQ 4 ' could be used to identify the posterior highest point Q4'.
  • a vector extending between the highest points Q4, Q4' may be generally perpendicular to the tangent lines TQ 4 , TQ 4 .
  • the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to determine at least one of the highest anterior or posterior points Q4, Q4' along the N4 image slice. This process may be performed assuming the damage to the medial tibia plateau 306 is not so extensive that at least one of the highest anterior or posterior points Q4, Q4' still exists. For example, as illustrated by FIG.
  • the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the anterior highest point Q4 of the tibia plateau 306.
  • the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the posterior highest point Q4' of the tibia plateau 306.
  • the reference information e.g., N1 information such as the N1 ellipse
  • the reference information may be applied to the damaged contour line via the AO axis and adjusted in size (e.g., made smaller or larger) until the N1 ellipse matches a portion of the damaged contour line in order to find the highest point, which may be, for example, Q4 or Q4'.
  • the adjustments in size for reference information may be made while maintaining the ratio of the N1 information.
  • the reference side femur condyle vector can be applied to the damaged side tibia plateau to determine the extent to which the tibia plateau contour line 322 needs to be restored ([block 215] of FIG. 2).
  • the vector from the reference side lateral femur condyle 300 e.g., the vector Ui from the N1 image slice
  • the vector from the reference side lateral femur condyle 300 is applied to the damaged side medial tibia plateau 306 such that the vector Ui intersects the existing highest point.
  • the vector Ui will extend through the anterior point Q4 and will spaced apart from damage 401 in the posterior region of the tibia plateau contour line 322 by the distance the posterior region of the tibia plateau contour line 322 needs to be restored.
  • the vector Ui will extend through the posterior point Q4' and will spaced apart from the damage 401 of the anterior region of the tibia plateau contour line 322 by the distance the anterior region of the tibia plateau contour line 322 needs to be restored.
  • FIGS. 51 and 5J which are respectively the same views as FIGS. 5G and 5H, the damaged region 401 of the of the tibia plateau contour line 322 is extended up to intersect the reference vector U-i, thereby restoring the missing posterior high point Q4' in the case of FIG. 51 and the anterior high point Q4 in the case of and FIG. 5J, the restoring resulting in restored regions 403.
  • FIGS. 51 and 5J which are respectively the same views as FIGS. 5G and 5H
  • the damaged region 401 of the of the tibia plateau contour line 322 is extended up to intersect the reference vector U-i, thereby restoring the missing posterior high point Q4' in the case of FIG. 51 and the anterior high point Q4 in the case of and FIG. 5J, the restoring resulting in restored regions 403.
  • FIGS. 51 and 5J which are respectively the same views as FIGS. 5G and 5H
  • the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to locate the proper offset distance L 4 between the existing high point (i.e., Q4 in FIG. 51 and Q4' in FIG. 5J) and the newly restored high point (i.e., Q4' in FIG. 51 and Q4 in FIG. 5J) of the restored region 403.
  • the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to achieve the proper curvature for the tibia plateau contour line 322.
  • the curvature of the tibia plateau contour line 322 may such that the contour line 322 near the midpoint between the anterior and posterior high points Q4, Q4' is offset from the reference vector Ui by a distance h 4 .
  • the ratio of the distances h 4 /L 4 after the restoration is less than approximately 0.01.
  • the reference ellipse may be applied to the damaged contour line and adjusted in size, but maintaining the ratio, until the ellipse matches a portion of the damaged contour line.
  • each tibia image slice N1 , N2, N3, N4 will be generated relative to a tibia reference axis AO T , which may be the same as or different from the femur reference axis AO F .
  • the tibia reference axis AO T will extend medial-lateral and may pass through a center point of each area defined by the contour line of each tibia image slice N1 , N2, N3, N4.
  • the tibia reference axis AOT may extend through other regions of the tibia image slices N1 , N2, N3, N4 or may extend outside of the tibia image slices, even, for example, through the origins Oi, O 2 , O 3 , O 4 of the respective femur images slices N1 , N2, N3, N4 (in such a case the tibia reference axis AOF and femur reference axis AO F may be the same or share the same location).
  • the axis AOT can be used to properly orient reference side data (e.g., the ellipse 305-N1 and vector Ui of the N1 slice in the current example) when being superimposed onto a damaged side image slice (e.g., the N4 image slice in the current example).
  • the orientation of the data or information of the reference side does not change as the data or information is being superimposed or otherwise applied to the damaged side image slice.
  • the orientation of the ellipse 305-N1 and vector Ui of the N1 slice is maintained or held constant during the superimposing of such reference information onto the N4 slice such that the reference information does not change when being superimposed on or otherwise applied to the N4 slice.
  • the reference side information is indexed to the damaged side image slice via the axis AOT and the orientation of the reference side information does not change in the process of being applied to the damaged side image slice, the reference side information can simply be adjusted with respect to size to assist in the restoration of the damaged side image slice.
  • the contour line N 4 of the N4 image slice may be generated via an open or closed loop computer analysis of the cortical bone of the medial tibia plateau 306 in the N4 image slice, thereby outlining the cortical bone with an open or closed loop contour line N 4 .
  • the resulting 3D models 22, 28 will be 3D volumetric models.
  • the resulting 3D models 22, 28 will be 3D surface models.
  • the restoration process for the contour lines of the damaged side femur condyle 302 and damaged side tibia plateau 306 take place slice-by-slice for the image slices 16 forming the damaged side of the bone models 22A, 22B ([block 220] of FIG. 2).
  • the restored image slices 16 are then utilized when a 3D computer modeling program recompiles the image slices 16 to generate the restored bone models 28A, 28B ([block 225] of FIG. 2).
  • a damaged side tibia plateau can also be restored by applying data or information from the reference side tibia plateau to the damaged side tibia plateau.
  • the damaged side tibia plateau will be the medial tibia plateau 306, and the reference side tibia plateau will be the lateral tibia plateau 304.
  • the process of restoring the damaged side tibia plateau 306 begins by analyzing the reference side tibia plateau 304 to determine the highest anterior point and a highest posterior point of the reference side tibia plateau 304. Theses highest points can then be used to determine the reference vector.
  • the reference side tibia plateau 304 can be analyzed via tangent lines to identify the highest points Q3, Q3'.
  • tangent line TQ 3 can be used to identify the anterior highest point Q3, and tangent line TQ 3 ' can be used to identify the posterior highest point Q3'.
  • a vector extending between the highest points Q3, Q3' may be generally perpendicular to the tangent lines T 03 , TQ 3 '.
  • the reference side femur condyle ellipse 305-N1 can be applied to the reference side lateral tibia plateau 304 to determine the highest anterior or posterior points Q3, Q3' along the N3 image slice. For example, as can be understood from FIG.
  • the reference side femur condyle ellipse 305-N1 (or ellipse 305-N3 if analyzed in the N3 image slice) can be applied to the reference side lateral tibia plateau 304 to identify the anterior highest point Q1 of the tibia plateau 304
  • the reference side femur condyle ellipse 305-N1 (or ellipse 305-N3 if analyzed in the N3 image slice) can be applied to the reference side lateral tibia plateau 304 to identify the posterior highest point QV of the tibia plateau 306.
  • the highest tibia plateau points may be Q3, Q3'.
  • a reference vector can be determined by extending a vector through the points.
  • vector Vi can be found by extending the vector through highest tibia plateau points Q1 , QV in the N1 slice.
  • the process of restoring the damaged side tibia plateau 306 continues by analyzing the damaged side tibia plateau 306 to determine at least one of a highest anterior point or a highest posterior point of the damaged side tibia plateau 306.
  • the damaged tibia plateau 306 can be analyzed via tangent lines to identify the surviving high point Q4, Q4'. For example, if the damage to the medial tibia plateau 306 was concentrated in the posterior region such that the posterior highest point Q4' no longer existed, the tangent line TQ 4 could be used to identify the anterior highest point Q4.
  • the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to determine at least one of the highest anterior or posterior points Q4, Q4' along the N4 image slice. This process may be performed assuming the damage to the medial tibia plateau 306 is not so extensive that at least one of the highest anterior or posterior points Q4, Q4' still exists. For example, as illustrated by FIG.
  • the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the anterior highest point Q4 of the tibia plateau 306.
  • the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the posterior highest point Q4' of the tibia plateau 306.
  • the reference information e.g., N1 information such as the N1 ellipse
  • the reference information may be applied to the damaged contour line via the AO axis and adjusted in size (e.g., made smaller or larger) until the N1 ellipse matches a portion of the damaged contour line in order to find the highest point, which may be, for example, Q4 or Q4'.
  • the adjustments in size for reference information may be made while maintaining the ratio of the N1 information.
  • the reference side tibia plateau vector can be applied to the damaged side tibia plateau to determine the extent to which the tibia plateau contour line 322 needs to be restored ([block 215] of FIG. 2).
  • the vector from the reference side lateral tibia plateau 304 e.g., the vector ⁇ from the N1 image slice
  • the vector from the reference side lateral tibia plateau 304 is applied to the damaged side medial tibia plateau 306 such that the vector Vi intersects the existing highest point.
  • the vector Vi will extend through the anterior point Q4 and will spaced apart from damage 401 in the posterior region of the tibia plateau contour line 322 by the distance the posterior region of the tibia plateau contour line 322 needs to be restored.
  • the vector ⁇ will extend through the posterior point Q4' and will spaced apart from the damage 401 of the anterior region of the tibia plateau contour line 322 by the distance the anterior region of the tibia plateau contour line 322 needs to be restored.
  • FIGS. 5M and 5N which are respectively the same views as FIGS. 51 and 5J, the damaged region 401 of the of the tibia plateau contour line 322 is extended up to intersect the reference vector V-i, thereby restoring the missing posterior high point Q4' in the case of FIG. 5M and the anterior high point Q4 in the case of and FIG. 5N, the restoring resulting in restored regions 403.
  • FIGS. 5M and 5N which are respectively the same views as FIGS. 51 and 5J
  • the damaged region 401 of the of the tibia plateau contour line 322 is extended up to intersect the reference vector V-i, thereby restoring the missing posterior high point Q4' in the case of FIG. 5M and the anterior high point Q4 in the case of and FIG. 5N, the restoring resulting in restored regions 403.
  • FIGS. 5M and 5N which are respectively the same views as FIGS. 51 and 5J
  • the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to locate the proper offset distance L 4 between the existing high point (i.e., Q4 in FIG. 5M and Q4' in FIG. 5N) and the newly restored high point (i.e., Q4' in FIG. 5M and Q4 in FIG. 5N) of the restored region 403.
  • the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to achieve the proper curvature for the tibia plateau contour line 322.
  • the curvature of the tibia plateau contour line 322 may such that the contour line 322 near the midpoint between the anterior and posterior high points Q4, Q4' is offset from the reference vector Ui by a distance h 4 .
  • the ratio of the distances h 4 /L 4 after the restoration is less than approximately 0.01.
  • the reference ellipse may be applied to the damaged contour line and adjusted in size, but maintaining the ratio, until the ellipse matches a portion of the damaged contour line.
  • each tibia image slice N1 , N2, N3, N4 will be generated relative to a tibia reference axis AO T , which may be the same as or different from the femur reference axis AO F .
  • the tibia reference axis AO T will extend medial-lateral and may pass through a center point of each area defined by the contour line of each tibia image slice N1 , N2, N3, N4.
  • the tibia reference axis AO T may extend through other regions of the tibia image slices N1 , N2, N3, N4 or may extend outside of the tibia image slices, even, for example, through the origins O-i, O 2 , O3, O 4 of the respective femur images slices N1 , N2, N3, N4 (in such a case the tibia reference axis AOF and femur reference axis AO F may be the same or share the same location).
  • the axis AOT can be used to properly orient reference side data (e.g., the ellipse 305-N1 and vector Vi of the N1 slice in the current example) when being superimposed onto a damaged side image slice (e.g., the N4 image slice in the current example).
  • the orientation of the data or information of the reference side does not change as the data or information is being superimposed or otherwise applied to the damaged side image slice.
  • the orientation of the ellipse 305-N1 and vector Vi of the N1 slice is maintained or held constant during the superimposing of such reference information onto the N4 slice such that the reference information does not change when being superimposed on or otherwise applied to the N4 slice.
  • the reference side information is indexed to the damaged side image slice via the axis AO T and the orientation of the reference side information does not change in the process of being applied to the damaged side image slice, the reference side information can simply be adjusted with respect to size to assist in the restoration of the damaged side image slice.
  • the contour line N 4 of the N4 image slice may be generated via an open or closed loop computer analysis of the cortical bone of the medial tibia plateau 306 in the N4 image slice, thereby outlining the cortical bone with an open or closed loop contour line N 4 .
  • the resulting 3D models 22, 28 will be 3D volumetric models.
  • the resulting 3D models 22, 28 will be 3D surface models.
  • the information from the reference side tibia plateau 304 is employed to restore the damaged side tibia plateau 306.
  • the information from the reference side femur condyle 300 is still used to restore the damaged side femur condyle 302 as discussed above in the preceding example with respect to FIGS. 5A-5D.
  • reference data or information e.g., vectors from the lateral tibia plateau 304 and ellipses, vectors, etc. from the lateral femur condyle 300
  • reference data or information are applied to the medial femur condyle 302 and medial tibia plateau 306 for the restoration thereof.
  • the restoration process for the contour lines of the damaged side femur condyle 302 and damaged side tibia plateau 306 take place slice-by-slice for the image slices 16 forming the damaged side of the bone models 22A, 22B ([block 220] of FIG. 2).
  • the restored image slices 16 are then utilized when a 3D computer modeling program recompiles the image slices 16 to generate the restored bone models 28A, 28B ([block 225] of FIG. 2).
  • reference data or information e.g., ellipses, vectors, etc.
  • the hinder part of the articular surface of the tibia is in contact with the rounded back part of the femoral condyles.
  • the middle parts of the tibia facets articulate with the anterior rounded part of the femoral condyles.
  • the anterior and the middle parts of the tibia facets are in contact with the anterior flattened portion of the femoral condyles.
  • the inner articular facet rests on the outer part of the internal condyle of the femur.
  • the upper part of facets rest on the lower part of the trochlear surface of the femur.
  • the middle pair rest on the middle of the trochlear surface.
  • the lower pair of facets on the patella rest on the upper portion of the trochlear surface of the femur. The difference may be described as the shifting of the points of contact of the articulate surface.
  • the traditional knee replacement studies focus mainly around the tibial- femoral joint.
  • the methods disclosed herein employ the patella in a tri- compartmental joint study by locating the patella groove of the knee.
  • the posterior surface of patella presents a smooth oval articular area divided into two facets by a vertical ridge, the facets forming the medial and lateral parts of the same surface.
  • the vertical ridge of the posterior patella corresponds to the femoral trochlear groove.
  • the patella In the knee flexion/extension motion movement, the patella normally moves up and down in the femoral trochlear grove along the vertical ridge and generates quadriceps forces on the tibia.
  • the patellofemoral joint and the movement of the femoral condyles play a major role in the primary structure/mechanics across the joint.
  • the femoral condyle surfaces bear very high load or forces.
  • the patella vertical ridge is properly aligned along the femoral trochlear groove so this alignment provides easy force generation in the sliding movement.
  • the patella If the patella is not properly aligned along the trochlear groove or tilted in certain angles, then it is hard to initiate the sliding movement so it causes difficulty with respect to walking. Further, the misaligned axis along the trochlear groove can cause dislocation of the patella on the trochlear groove, and uneven load damage on the patella as well.
  • trochlear groove axis or the “trochlear groove reference plane” as discussed below.
  • This axis or reference plane extend across the lowest extremity of trochlear groove in both the fully-extended and 90° extension of the knee.
  • the trochlear groove axis is perpendicular or generally perpendicular to the joint line of the knee.
  • the trochlear groove axis should be straight as well.
  • the trochlear groove axis is applied into the theory that the joint line of the knee is parallel to the ground. In a properly aligned knee or normal knee, the trochlear groove axis is presumed to be perpendicular or nearly perpendicular to the joint line.
  • the femoral trochlear groove can serve as a reliable bone axis reference for the verification of the accuracy of the bone restoration when restoring a bone model 22 into a restored bone model 28.
  • FIG. 6A is a sagital view of a femur restored bone model 28A illustrating the orders and orientations of imaging slices 16 (e.g., MRI slices, CT slices, etc.) forming the femur restored bone model 28A.
  • FIG. 6B is the distal images slices 1-5 taken along section lines 1-5 of the femur restored bone model 28A in FIG. 6A.
  • FIG. 6C is the coronal images slices 6-8 taken along section lines 6-8 of the femur restored bone model 28A in FIG. 6A.
  • FIG. 6D is a perspective view of the distal end of the femur restored bone model 28A.
  • Image slices are compiled into the femur restored bone model 28A from the image slices originally forming the femur bone model 22A and those restored image slices modified via the above-described methods.
  • Image slices may extend medial-lateral in planes that would be normal to the longitudinal axis of the femur, such as image slices 1-5.
  • Image slices may extend medial-lateral in planes that would be parallel to the longitudinal axis of the femur, such as image slices 6-8.
  • the number of image slices may vary from 1-50 and may be spaced apart in a 2mm spacing.
  • each of the slices 1-5 can be aligned vertically along the trochlear groove, wherein points G1 , G2, G3, G4, G5 respectively represent the lowest extremity of trochlear groove for each slice 1-5.
  • points G1 , G2, G3, G4, G5 respectively represent the lowest extremity of trochlear groove for each slice 1-5.
  • a point O can be obtained.
  • resulting line GO is perpendicular or nearly perpendicular to tangent line P 1 P 2 .
  • line GO is perpendicular or nearly perpendicular to the joint line of the knee and line P 1 P 2 .
  • each of the slices 6-8 can be aligned vertically along the trochlear groove, wherein points H6, H7, H8 respectively represent the lowest extremity of the trochlear groove for each slice 6-8.
  • points H6, H7, H8 respectively represent the lowest extremity of the trochlear groove for each slice 6-8.
  • the point O can again be obtained.
  • resulting line HO is perpendicular or nearly perpendicular to tangent line DiD 2 .
  • line HO is perpendicular or nearly perpendicular to the joint line of the knee and line DiD 2 .
  • the verification of the accuracy of the restoration process includes determining if the reference lines GO and HO are within certain tolerances with respect to being parallel to certain lines and perpendicular to certain lines.
  • the line GO as the reference across the most distal extremity of the trochlear groove of the femur and in a 90° knee extension, should be perpendicular to tangent line DiD 2 .
  • the line HO as the reference across the most posterior extremity of trochlear groove of the femur and in a 0° knee extension, should be perpendicular to tangent line PiP 2 .
  • Line HO and line PiP 2 may form a plane S, and lines GO and line DiD 2 may form a plane P that is perpendicular to plane S and forms line SR therewith.
  • Line HO and line GO are parallel or nearly parallel to each other.
  • Lines PiP 2 , DiD 2 and SR are parallel or nearly parallel to each other.
  • Lines PiP 2 , DiD 2 and SR are perpendicular or nearly perpendicular to lines HO and GO.
  • lines HO and GO must be within approximately six degrees of being perpendicular with lines P- ⁇ P 2 ,and DiD 2 or the restored bones models 28A, 28B will be rejected and the restoration process will have to be repeated until the resulting restored bone models 28A, 28B meet the stated tolerances, or there has been multiple failed attempts to meet the tolerances ([block 230] - [block 240] of FIG. 2). If multiple attempts to provide restored bone models 28A, 28B satisfying the tolerances have been made without success, then bone restoration reference data may be obtained from another similar joint that is sufficiently free of deterioration.
  • reference data could be obtained from the left knee lateral or medial sides for use in the restoration process in a manner similar to described above.
  • some OA knee conditions are more likely to be restored via the methods disclosed herein than other conditions when it comes to obtaining the reference data from the same knee as being restored via the reference data.
  • the damaged side of the knee may be light (e.g., no bone damage or bone damage less than 1 mm), medium (e.g., bone damage of approximately 1 mm) or severe (e.g., bone damage of greater than 1 mm).
  • light e.g., no bone damage or bone damage less than 1 mm
  • medium e.g., bone damage of approximately 1 mm
  • severe e.g., bone damage of greater than 1 mm
  • the bone restoration provided via some of the above-described embodiments may apply to most OA patients having light-damaged knees and medium-damaged knees and some OA patients having severe-damaged knees, wherein restoration data is obtained from a reference side of the knee having the damaged side to be restored.
  • bone restoration analysis entails obtaining restoration data from a good first knee of the patient for application to, and restoration of, a bad second knee of the patient.
  • FIG. 8A shows the construction of reference line SQ in a medial portion of the tibia plateau.
  • the reference line SQ may be determined by superimposing an undamaged femoral condyle ellipse onto the medial tibia plateau to obtain two tangent points Q and S.
  • the tangent points Q and S may be located from the image slices by identifying the highest points at the posterior and anterior edges of the medial tibia plateau.
  • the tangent lines QP and SR may be determined by extending lines across each of the tangent points Q and S, wherein the tangent lines QP and SR are respectively tangent to the anterior and posterior curves of the medial tibia plateau.
  • Reference line SQ may be obtained where tangent line QP is perpendicular or generally perpendicular to reference line SQ and tangent line SR is perpendicular or generally perpendicular to reference line SQ.
  • FIG. 8B shows the restoration of a damaged anterior portion of the lateral tibia plateau.
  • the reference vector line or the vector plane is obtained from FIG. 8A, as line SQ or plane SQ.
  • the reference vector plane SQ from the medial side may be applied as the reference plane in the damaged lateral side of the tibia plateau surface.
  • the contour of the damaged anterior portion of the lateral tibia plateau may be adjusted to touch the proximity of the reference vector plane SQ from the undamaged medial side. That is, points S' and Q' are adjusted to reach the proximity of the plane SQ.
  • the outline between points S' and Q' are adjusted and raised to the reference plane SQ. By doing this adjustment, a restored tangent point Q' may be obtained via this vector plane SQ reference.
  • the reference vector plane SQ in the medial side is parallel or nearly parallel to the restored vector plane S 1 Q' in the lateral side.
  • the length L" represents the length of line S 1 Q'.
  • the length I" is the offset from the recessed surface region of the tibia plateau to the plane S 1 Q' after the restoration.
  • the ratio of I" I L" may be controlled to be less than 0.01.
  • FIG. 8C is the coronal view of the restored tibia after 3D reconstruction, with a 0° knee extension model.
  • the points U and V represent the lowest extremity of tangent contact points on each of the lateral and medial tibia plateau, respectively.
  • tangent points U and V are located within the region between the tibia spine and the medial and lateral epicondyle edges of the tibia plateau, where the slopes of tangent lines in this region are steady and constant.
  • the tangent point U in the lateral plateau is in area I between the lateral side of lateral intercondylar tubercule to the attachment of the lateral collateral ligament.
  • the tangent point V is in area Il between the medial side of medial intercondylar tubercule to the medial condyle of tibia, as shown in FIG. 8C.
  • FIG. 8C represents the restored tibia models and, therefore, the reference lines N1 and N2 can apply to the restored tibia model in FIG. 8C, when the knee is at 0° extension.
  • line N1 when extended across point U is perpendicular or generally perpendicular to line-UV
  • line N2 when extended across point V is perpendicular or generally perpendicular to line UV.
  • line UV may be parallel or nearly parallel to the joint line of the knee.
  • the tolerable range of the acute angle between nearly perpendicular or nearly parallel lines or planes may be within an absolute 6-degree angle, I x " x ⁇ ⁇ 6 . If the acute angle difference from FIG. 8C is less than 6°, the numerical data for the femur and/or tibia restoration is acceptable. This data may be transferred to the further assess the varus/valgus alignment of the knee models.
  • FIG. 9A is a coronal view of the restored knee models of proximal femur and distal tibia with 0° extension of the knee.
  • Line ab extends across the lowest extremity of trochlear groove of the distal femur model.
  • Reference lines N1 and N2 are applied to the restored knee model of varus/valgus alignment, where Iine-N1 is parallel or generally parallel to line N2 and line ab. Depending on the embodiment, the acute angles between these lines may be controlled within a 3 degree range or a 5 degree range.
  • the tangent points D and E represent the lowest extremities of the restored proximal femur model.
  • the tangent points U and V are obtained from the restored distal tibia plateau surface.
  • t1 ' represents the offset of the tangent lines between the medial condyle and medial tibia plateau.
  • t2' represents the offset of the tangent lines between the lateral condyle and lateral tibia plateau.
  • t1' is substantially
  • line DE may be generally parallel to the joint line of the knee and generally parallel to line UV.
  • FIG. 9B is a sagital view of the restored knee models.
  • Line 348 represents the attachment location of lateral collateral ligament which lies on the lateral side of the joint.
  • Line 342 represents the posterior extremity portion of the lateral femoral condyle.
  • Line 344 represents the distal extremity portion of the lateral condyle.
  • line 344 may be parallel or generally parallel to line L. That is, plane 344 is parallel or generally parallel to plane L and parallel or generally parallel to the joint plane of the knee. In one embodiment, the tolerable range of acute angle between these planes may be controlled within an absolute 6 degrees.
  • the information of the femur and tibia model will then be forwarded to the preoperative design for the implant modeling. If the acute angle is equal or larger than an absolute 6 degrees, the images and 3D models will be rejected. In this situation, the procedure will be returned to start all over from the assessment procedure of reference lines/planes.
  • the knee that is the target of the arthroplasty procedure may be sufficiently damaged on both the medial and lateral sides such that neither side may adequately serve as a reference side for the restoration of the other side.
  • reference data for the restoration of the deteriorated side of the target knee may be obtained from the patient's other knee, which is often a healthy knee or at least has a healthy side from which to obtain reference information.
  • the image slices of the healthy knee are reversed in a mirrored orientation and compiled into a restored bone model representative of the deteriorated knee prior to deterioration, assuming the patient's two knees where generally mirror images of each other when they were both healthy.
  • These two embodiments may be employed when the knee targeted for arthroplasty is sufficiently damaged to preclude restoration in a manner similar to that described above with respect to FIGS. 2-6D.
  • the two embodiments discussed below may also be used in place of, or in addition to, the methods discussed above with respect to FIGS. 2-6D, even if the knee targeted for arthroplasty has a side that is sufficiently healthy to allow the methods discussed above with respect to FIGS. 2- 6D to be employed.
  • FIG. 10A is a diagram illustrating the condition of a patient's right knee, which is in a deteriorated state, and left knee, which is generally healthy.
  • FIG. 10B is a diagram illustrating the two embodiments. While in FIGS. 10A and 10B and the following discussion the right knee 702 of the patient 700 is designated as the deteriorate knee 702 and the right knee 704 of the patient 700 is designated as the healthy knee 704, of course such designations are for example purposes only and the conditions of the knees could be the reverse.
  • the patient 700 has a deteriorated right knee 702 formed of a femur 703 and a tibia 704 and which has one or both of sides in a deteriorated condition.
  • the lateral side 705 of the right knee 702 is generally healthy and the medial side 706 of the right knee 702 is deteriorated such that the right medial condyle 708 and right medial tibia plateau 710 will need to be restored in any resulting restored bone model 28.
  • FIG. 10A the patient 700 has a deteriorated right knee 702 formed of a femur 703 and a tibia 704 and which has one or both of sides in a deteriorated condition.
  • the lateral side 705 of the right knee 702 is generally healthy and the medial side 706 of the right knee 702 is deteriorated such that the right medial condyle 708 and right medial tibia plateau 710 will need to be restored in any resulting restored bone model 28.
  • the patient also has a left knee 704 that is also formed of a femur 711 and a tibia 712 and which has a medial side 713 and a lateral side 714.
  • both sides 713, 714 of the left knee 704 are generally healthy, although, for one of the following embodiments, a single healthy side is sufficient to generate a restored bone model 28 for the right knee 702.
  • image slices 16 of the deteriorated right knee 702 and healthy left knee 704 are generated as discussed above with respect to FIGS. 1A and 1 B.
  • the first embodiment which is similar to the process discussed above with respect to FIGS.
  • reference information e.g., vectors, lines, planes, ellipses, etc. as discussed with respect to FIGS. 2-6D
  • reference information 720 is obtained from a healthy side of the healthy left knee 704 [block 1000 of FIG. 10B].
  • the reference information 720 obtained from the image slices 16 of the health left knee 704 is applied to the deteriorated sides of the right knee 702 [block 1005 of FIG. 10B].
  • the applied reference information 720 is used to modify the contour lines of the images slices 16 of the deteriorated sides of the right knee 702, after which the modified contour lines are compiled, resulting in a restored bone model 28 that may be employed as described with respect to FIG. 1C.
  • the reference information 720 obtained from the healthy left knee image slices 16 may be coordinated with respect to position and orientation with the contour lines of the deteriorated right knee image slices 16 by identifying a similar location or feature on each knee joint that is generally identical between the knees and free of bone deterioration, such as a point or axis of the femur trochlear groove or tibia plateau spine.
  • image slices 16 are generated of both the deteriorate right knee 702 and healthy left knee 704 as discussed above with respect to FIG. 1 B.
  • the image slices 16 of the deteriorated right knee 702 may be used to generate the arthritic model 36 as discussed above with respect to FIG. 1 D.
  • the image slices 16 of the healthy left knee 704 are mirrored medially/laterally to reverse the order of the image slices 16 [block 2000 of FIG. 10B].
  • the mirrored/reversed order image slices 16 of the healthy left knee 704 are compiled, resulting in a restored bone model 28 for the right knee 702 that is formed from the image slices 16 of the left knee 704 [block 2000 of FIG. 10B].
  • the image slices 16 of the left knee 704 may be formed into a bone model that would appear to be a bone model of the right knee 702 in a restored condition, assuming the right and left knees 702, 704 were generally symmetrically identical mirror images of each other when both were in a non-deteriorated state.
  • the restored bone model 28 generated from the mirrored image slices 16 of the healthy left knee 704 may be coordinated with respect to position and orientation with the arthritic model 36 generated from the image slices 16 of the deteriorated right knee 702.
  • this coordination between the models 28, 36 may be achieved by identifying a similar location or feature on each knee joint that is generally identical between the knees and free of bone deterioration, such as a point or axis of the femur trochlear groove or tibia plateau spine.
  • Such a point may serve as the coordination or reference point P' (X 0- k, Yo- k , Z 0-k ) as discussed with respect to FIG. 1 E.

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Abstract

A method of generating a computerized bone model representative of at least a portion of a patient bone in a pre-degenerated state, including generating at least one image of the patient bone in a degenerated state; identifying a reference portion associated with a generally non-degenerated portion of the patient bone; identifying a degenerated portion associated with a generally degenerated portion of the patient bone; and using information from at least one image associated with the reference portion to modify at least one aspect associated with at least one image associated the generally degenerated portion. The method may further include employing the model in defining manufacturing instructions for the manufacture of a customized arthroplasty jig. A customized arthroplasty jig may be manufactured according to the above-described method and is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.

Description

GENERATION OF A COMPUTERIZED BONE MODEL REPRESENTATIVE OF A
PRE-DEGENERATED STATE AND USEABLE IN THE DESIGN AND
MANUFACTURE OF ARTHROPLASTY DEVICES
CROSS-REFERENCE TO RELATED APPLICATION
[001] The present application claims priority to U.S. Patent Application No. 12/111 ,924 filed on April 29, 2008 and entitled "Generation of a Computerized Bone Model Representative of a Pre-Degenerated State and Useable in the Design and Manufacture of Arthroplasty Devices", and is hereby incorporated by reference as though fully set forth herein in its entirety.
FIELD OF THE INVENTION
[002] The present invention relates to systems and methods for manufacturing customized surgical devices. More specifically, the present invention relates to automated systems and methods for manufacturing customized arthroplasty jigs.
BACKGROUND OF THE INVENTION
[003] Over time and through repeated use, bones and joints can become damaged or worn. For example, repetitive strain on bones and joints (e.g., through athletic activity), traumatic events, and certain diseases (e.g., arthritis) can cause cartilage in joint areas, which normally provides a cushioning effect, to wear down. When the cartilage wears down, fluid can accumulate in the joint areas, resulting in pain, stiffness, and decreased mobility.
[004] Arthroplasty procedures can be used to repair damaged joints. During a typical arthroplasty procedure, an arthritic or otherwise dysfunctional joint can be remodeled or realigned, or an implant can be implanted into the damaged region. Arthroplasty procedures may take place in any of a number of different regions of the body, such as a knee, a hip, a shoulder, or an elbow.
[005] One type of arthroplasty procedure is a total knee arthroplasty ("TKA"), in which a damaged knee joint is replaced with prosthetic implants. The knee joint may have been damaged by, for example, arthritis (e.g., severe osteoarthritis or degenerative arthritis), trauma, or a rare destructive joint disease. During a TKA procedure, a damaged portion in the distal region of the femur may be removed and replaced with a metal shell, and a damaged portion in the proximal region of the tibia may be removed and replaced with a channeled piece of plastic having a metal stem. In some TKA procedures, a plastic button may also be added under the surface of the patella, depending on the condition of the patella.
[006] Implants that are implanted into a damaged region may provide support and structure to the damaged region, and may help to restore the damaged region, thereby enhancing its functionality. Prior to implantation of an implant in a damaged region, the damaged region may be prepared to receive the implant. For example, in a knee arthroplasty procedure, one or more of the bones in the knee area, such as the femur and/or the tibia, may be treated (e.g., cut, drilled, reamed, and/or resurfaced) to provide one or more surfaces that can align with the implant and thereby accommodate the implant.
[007] Accuracy in implant alignment is an important factor to the success of a TKA procedure. A one- to two-millimeter translational misalignment, or a one- to two- degree rotational misalignment, may result in imbalanced ligaments, and may thereby significantly affect the outcome of the TKA procedure. For example, implant misalignment may result in intolerable post-surgery pain, and also may prevent the patient from having full leg extension and stable leg flexion.
[008] To achieve accurate implant alignment, prior to treating (e.g., cutting, drilling, reaming, and/or resurfacing) any regions of a bone, it is important to correctly determine the location at which the treatment will take place and how the treatment will be oriented. In some methods, an arthroplasty jig may be used to accurately position and orient a finishing instrument, such as a cutting, drilling, reaming, or resurfacing instrument on the regions of the bone. The arthroplasty jig may, for example, include one or more apertures and/or slots that are configured to accept such an instrument.
[009] A system and method has been developed for producing customized arthroplasty jigs configured to allow a surgeon to accurately and quickly perform an arthroplasty procedure that restores the pre-deterioration alignment of the joint, thereby improving the success rate of such procedures. Specifically, the customized arthroplasty jigs are indexed such that they matingly receive the regions of the bone to be subjected to a treatment (e.g., cutting, drilling, reaming, and/or resurfacing). The customized arthroplasty jigs are also indexed to provide the proper location and orientation of the treatment relative to the regions of the bone. The indexing aspect of the customized arthroplasty jigs allows the treatment of the bone regions to be done quickly and with a high degree of accuracy that will allow the implants to restore the patient's joint to a generally pre-deteriorated state. However, the system and method for generating the customized jigs often relies on a human to "eyeball" bone models on a computer screen to determine configurations needed for the generation of the customized jigs. This is "eyeballing" or manual manipulation of the bone models on the computer screen is inefficient and unnecessarily raises the time, manpower and costs associated with producing the customized arthroplasty jigs. Furthermore, a less manual approach may improve the accuracy of the resulting jigs.
[010] There is a need in the art for a system and method for reducing the labor associated with generating customized arthroplasty jigs. There is also a need in the art for a system and method for increasing the accuracy of customized arthroplasty jigs.
SUMMARY
[011] Preoperative assessment of bone loss is advantageous for prosthesis design, for example, to reduce the likelihood of prosthesis loosening and to provide a more reliable bone restoration method for preoperative implant design, thereby improving the success rate for such procedures such as total knee arthroplasty ("TKA") and partial knee arthroplasty (e.g., a unicompartment knee arthroplasty) and providing a patient-specific bone restoration method to fit an individual patient's knee features.
[012] The current available joint reconstruction and replacement surgeries, including knee, ankle, hip, shoulder or elbow arthroplasty, are mainly based on standard guidelines and methods for acceptable performance. Taking this into account, the positioning and orientation of the arthroplasty work on a joint is based on standard values for orientation relative to the biomechanical axes, such as flexion/extension, varus/valgus, and range of motion.
[013] One of the surgical goals of joint replacement/reconstruction should be to achieve a certain alignment relative to a load axes. However, the conventional standards are based on static load analysis and therefore may not be able to provide an optimal joint functionality for adopting individual knee features of OA patients. The methods disclosed herein provide a kinetic approach for bone restoration, properly balancing the unconstrained joint and ligaments surrounding the joint, and resulting in a placement of a prosthetic implant that generally restores the patient's knee to a generally pre-degenerated state.
[014] In one embodiment, the result of the bone restoration process disclosed herein is a TKA or partial knee arthroplasty procedure that generally returns the knee to its pre-degenerated state whether that pre-degenerated state is naturally varus, valgus or neutral. In other words, if the patient's knee was naturally varus, valgus or neutral prior to degenerating, the surgical procedure will result in a knee that is generally restored to that specific natural pre-degenerated alignment, as opposed to simply making the knee have an alignment that corresponds to the mechanical axis, as is the common focus and result of most, if not all, arthroplasty procedures known in the art.
[015] Disclosed herein is a method of generating a restored bone model representative of at least a portion of a patient bone in a pre-degenerated state. In one embodiment, the method includes: determining reference information from a reference portion of a degenerated bone model representative of the at least a portion of the patient bone in a degenerated state; and using the reference information to restore a degenerated portion of the degenerated bone model into a restored portion representative of the degenerated portion in the pre-degenerated state. In one embodiment, the method further includes employing the restored bone model in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
[016] Also disclosed herein is a customized arthroplasty jig manufactured according to the above-described method. In one embodiment, the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment. The prosthetic implant may be for a total joint replacement or partial joint replacement. The patient joint may be a variety of joints, including, but not limited to, a knee joint.
[017] Disclosed herein is a method of generating a computerized bone model representative of at least a portion of a patient bone in a pre-degenerated state. In one embodiment, the method includes: generating at least one image of the patient bone in a degenerated state; identifying a reference portion associated with a generally non-degenerated portion of the patient bone; identifying a degenerated portion associated with a generally degenerated portion of the patient bone; and using information from at least one image associated with the reference portion to modify at least one aspect associated with at least one image associated the generally degenerated portion. In one embodiment, the method may further include employing the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
[018] Also disclosed herein is a customized arthroplasty jig manufactured according to the above-described method. In one embodiment, the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment. The prosthetic implant may be for a total joint replacement or partial joint replacement. The patient joint may be a variety of joints, including, but not limited to, a knee joint.
[019] Disclosed herein is a method of generating a computerized bone model representative of at least a portion of a first patient bone in a pre-degenerated state. In one embodiment, the method includes: generating at least one image of the first patient bone in a degenerated state; identifying a reference portion associated with a generally non-degenerated portion of a second patient bone; identifying a degenerated portion associated with a generally degenerated portion of the first patient bone; and using information from at least one image associated with the reference portion to modify at least one aspect associated with at least one image associated the generally degenerated portion. In one embodiment, the method may further include employing the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
[020] Also disclosed herein is a customized arthroplasty jig manufactured according to the above-described method. In one embodiment, the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment. The prosthetic implant may be for a total joint replacement or partial joint replacement. The patient joint may be a variety of joints, including, but not limited to, a knee joint.
[021] Disclosed herein is a method of generating a computerized bone model representative of at least a portion of a first patient bone in a pre-degenerated state, wherein the first patient bone is part of a first patient joint. In one embodiment, the method includes: identifying a second patient bone of a second joint, wherein the second bone is a generally symmetrical mirror image of the first patient bone; generating a plurality of images of the second patient bone when the second patient bone is in a generally non-degenerated state; mirroring the plurality of images to reverse the order of the plurality images; and compiling the plurality of images in the reversed order to form the computerized bone model representative of the at least a portion of the first patient bone. In one embodiment, the method may further include employing the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
[022] Also disclosed herein is a customized arthroplasty jig manufactured according to the above-described method. In one embodiment, the customized arthroplasty jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment. The prosthetic implant may be for a total joint replacement or partial joint replacement. The patient joint may be a variety of joints, including, but not limited to, a knee joint.
[023] While multiple embodiments are disclosed, still other embodiments of the present invention will become apparent to those skilled in the art from the following detailed description, which shows and describes illustrative embodiments of the invention. As will be realized, the invention is capable of modifications in various aspects, all without departing from the spirit and scope of the present invention. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not restrictive. BRIEF DESCRIPTION OF THE DRAWINGS
[024] FIG. 1A is a schematic diagram of a system for employing the automated jig production method disclosed herein.
[025] FIGS. 1 B-1 E are flow chart diagrams outlining the jig production method disclosed herein.
[026] FIGS. 1 F and 1 G are, respectively, bottom and top perspective views of an example customized arthroplasty femur jig.
[027] FIGS. 1 H and 11 are, respectively, bottom and top perspective views of an example customized arthroplasty tibia jig.
[028] FIG. 2 is a diagram generally illustrating a bone restoration process for restoring a 3D computer generated bone model into a 3D computer generated restored bone model.
[029] FIG. 3A is a coronal view of a distal or knee joint end of a femur restored bone model.
[030] FIG. 3B is an axial view of a distal or knee joint end of a femur restored bone model.
[031] FIG. 3C is a coronal view of a proximal or knee joint end of a tibia restored bone model.
[032] FIG. 3D represents the femur and tibia restored bone models in the views depicted in FIGS. 3A and 3C positioned together to form a knee joint.
[033] FIG. 3E represents the femur and tibia restored bone models in the views depicted in FIGS. 3B and 3C positioned together to form a knee joint.
[034] FIG. 3F is a sagittal view of the femoral medial condyle ellipse and, more specifically, the N1 slice of the femoral medial condyle ellipse as taken along line N1 in FIG. 3A.
[035] FIG. 3G is a sagittal view of the femoral lateral condyle ellipse and, more specifically, the N2 slice of the femoral lateral condyle ellipse as taken along line N2 in FIG. 3A. [036] FIG. 3H is a sagittal view of the femoral medial condyle ellipse and, more specifically, the N3 slice of the femoral medial condyle ellipse as taken along line N3 in FIG. 3B.
[037] FIG. 31 is a sagittal view of the femoral lateral condyle ellipse and, more specifically, the N4 slice of the femoral lateral condyle ellipse as taken along line N4 in FIG. 3B.
[038] FlG. 4A is a sagital view of the lateral tibia plateau with the lateral femur condyle ellipse of the N1 slice of FIG. 3F superimposed thereon.
[039] FIG. 4B is a sagital view of the medial tibia plateau with the lateral femur condyle ellipse of the N2 slice of FIG. 3G superimposed thereon.
[040] FIG. 4C is a top view of the tibia plateaus of a restored tibia bone model.
[041] FIG. 4D is a sagital cross section through a lateral tibia plateau of the restored bone model 28B of FIG. 4C and corresponding to the N3 image slice of FIG. 3B.
[042] FIG. 4E is a sagital cross section through a medial tibia plateau of the restored bone model of FIG. 4C and corresponding to the N4 image slice of FIG. 3B.
[043] FIG. 4F is a posterior-lateral perspective view of femur and tibia bone models forming a knee joint.
[044] FIG. 4G is a posterior-lateral perspective view of femur and tibia restored bone models forming a knee joint.
[045] FIGS. 5A is a coronal view of a femur bone model. [046] FIG. 5B is a coronal view of a tibia bone model.
[047] FIG. 5C1 is an N2 image slice of the medial condyle as taken along the N2 line in FIG. 5A.
[048] FIG. 5C2 is the same view as FIG. 5C1 , except illustrating the need to increase the size of the reference information prior to restoring the contour line of the N2 image slice.
[049] FIG. 5C3 is the same view as FIG. 5C1 , except illustrating the need to reduce the size of the reference information prior to restoring the contour line of the N2 image slice. [050] FIG. 5D is the N2 image slice of FIG. 5C1 subsequent to restoration.
[051] FIG. 5E is a sagital view of the medial tibia plateau along the N4 image slice, wherein damage to the plateau is mainly in the posterior region.
[052] FIG. 5F is a sagital view of the medial tibia plateau along the N4 image slice, wherein damage to the plateau is mainly in the anterior region.
[053] FIG. 5G is the same view as FIG. 5E, except showing the reference side femur condyle vector extending through the anterior highest point of the tibia plateau.
[054] FIG. 5H is the same view as FIG. 5F, except showing the reference side femur condyle vector extending through the posterior highest point of the tibia plateau.
[055] FIG. 51 is the same view as FIG. 5G, except showing the anterior highest point of the tibia plateau restored.
[056] FIG. 5J is the same view as FIG. 5H, except showing the posterior highest point of the tibia plateau restored.
[057] FIG. 5K is the same view as FIG. 5G, except employing reference vector Vi as opposed to U-i.
[058] FIG. 5L is the same view as FIG. 5H, except employing reference vector Vi as opposed to U-I.
[059] FIG. 5M is the same view as FIG. 51, except employing reference vector Vi as opposed to U-ι.
[060] FIG. 5N is the same view as FIG. 5J, except employing reference vector Vi as opposed to U-I.
[061] FIG. 6A is a sagital view of a femur restored bone model illustrating the orders and orientations of imaging slices (e.g., MRI slices, CT slices, etc.) forming the femur restored bone model.
[062] FIG. 6B is the distal images slices 1-5 taken along section lines 1-5 of the femur restored bone model in FIG. 6A.
[063] FIG. 6C is the coronal images slices 6-8 taken along section lines 6-8 of the femur restored bone model in FIG. 6A. [064] FIG. 6D is a perspective view of the distal end of the femur restored bone model.
[065] FIG. 7 is a table illustrating how OA knee conditions may impact the likelihood of successful bone restoration.
[066] FIGS. 8A-8C are various of the tibia plateau with reference to restoration of a side thereof.
[067] FIGS. 9A and 9B are, respectively, coronal and sagital views of the restored bone models.
[068] FIG. 10A is a diagram illustrating the condition of a patient's right knee, which is in a deteriorated state, and left knee, which is generally healthy.
[069] FIG. 10B is a diagram illustrating two options for creating a restored bone model for a deteriorated right knee from image slices obtained from a healthy left knee.
DETAILED DESCRIPTION
[070] Disclosed herein are customized arthroplasty jigs 2 and systems 4 for, and methods of, producing such jigs 2. The jigs 2 are customized to fit specific bone surfaces of specific patients. Depending on the embodiment and to a greater or lesser extent, the jigs 2 are automatically planned and generated and may be similar to those disclosed in these three U.S. Patent Applications: U.S. Patent Application 11/656,323 to Park et al., titled "Arthroplasty Devices and Related Methods" and filed January 19, 2007; U.S. Patent Application 10/146,862 to Park et al., titled "Improved Total Joint Arthroplasty System" and filed May 15, 2002; and U.S. Patent 11/642,385 to Park et al., titled "Arthroplasty Devices and Related Methods" and filed December 19, 2006. The disclosures of these three U.S. Patent Applications are incorporated by reference in their entireties into this Detailed Description.
[071] a. Overview of System and Method for Manufacturing Customized Arthroplasty Cutting Jigs
[072] For an overview discussion of the systems 4 for, and methods of, producing the customized arthroplasty jigs 2, reference is made to FIGS. 1A-1 E. FIG. 1A is a schematic diagram of a system 4 for employing the automated jig production method disclosed herein. FIGS. 1 B-1 E are flow chart diagrams outlining the jig production method disclosed herein. The following overview discussion can be broken down into three sections.
[073] The first section, which is discussed with respect to FlG. 1A and [blocks 100- 125] of FIGS. 1 B-1 E, pertains to an example method of determining, in a three- dimensional ("3D") computer model environment, saw cut and drill hole locations 30, 32 relative to 3D computer models that are termed restored bone models 28. The resulting "saw cut and drill hole data" 44 is referenced to the restored bone models 28 to provide saw cuts and drill holes that will allow arthroplasty implants to generally restore the patient's joint to its pre-degenerated state. In other words, the patient's joint will be restored to its natural alignment prior to degeneration. Thus, where the patient's pre-degenerated joint had a certain degree of valgus, the saw cuts and drill holes will allow the arthroplasty implants to generally restore the patient's joint to that degree of valgus. Similarly, where the patient's pre-degenerated joint had a certain degree of varus, the saw cuts and drill holes will allow the arthroplasty implants to generally restore the patient's joint to that degree of varus, and where the patient's pre-degenerated joint was neutral, the saw cuts and drill holes will allow the arthroplasty implants to generally restore the patient's joint to neutral.
[074] The second section, which is discussed with respect to FIG. 1A and [blocks 100-105 and 130-145] of FIGS. 1 B-1 E, pertains to an example method of importing into 3D computer generated jig models 38 3D computer generated surface models 40 of arthroplasty target areas 42 of 3D computer generated arthritic models 36 of the patient's joint bones. The resulting "jig data" 46 is used to produce a jig customized to matingly receive the arthroplasty target areas of the respective bones of the patient's joint.
[075] The third section, which is discussed with respect to FIG. 1A and [blocks 150- 165] of FIG. 1 E, pertains to a method of combining or integrating the "saw cut and drill hole data" 44 with the "jig data" 46 to result in "integrated jig data" 48. The "integrated jig data" 48 is provided to the CNC machine 10 for the production of customized arthroplasty jigs 2 from jig blanks 50 provided to the CNC machine 10. The resulting customized arthroplasty jigs 2 include saw cut slots and drill holes positioned in the jigs 2 such that when the jigs 2 matingly receive the arthroplasty target areas of the patient's bones, the cut slots and drill holes facilitate preparing the arthroplasty target areas in a manner that allows the arthroplasty joint implants to generally restore the patient's joint line to its pre-degenerated state. In other words, the customized arthroplasty jigs 2 facilitate preparing the patient's bone in a manner that allows the arthroplasty joint implants to restore the patient's joint to a natural alignment that corresponds to the patient's specific pre-degenerated alignment, whether that specific pre-degenerated alignment was valgus, varus or neutral.
[076] As shown in FIG. 1A, the system 4 includes a computer 6 having a CPU 7, a monitor or screen 9 and an operator interface controls 11. The computer 6 is linked to a medical imaging system 8, such as a CT or MRI machine 8, and a computer controlled machining system 10, such as a CNC milling machine 10.
[077] As indicated in FIG. 1A, a patient 12 has a joint 14 (e.g., a knee, elbow, ankle, wrist, hip, shoulder, skull/vertebrae or vertebrae/vertebrae interface, etc.) to be totally replaced (e.g., TKA), partially replaced (e.g., partial or compartmentalized replacement), resurfaced, or otherwise treated. The patient 12 has the joint 14 scanned in the imaging machine 8. The imaging machine 8 makes a plurality of scans of the joint 14, wherein each scan pertains to a thin slice of the joint 14.
[078] As can be understood from FIG. 1 B, the plurality of scans is used to generate a plurality of two-dimensional ("2D") images 16 of the joint 14 [block 100]. Where, for example, the joint 14 is a knee 14, the 2D images will be of the femur 18 and tibia 20. The imaging may be performed via CT or MRI. In one embodiment employing MRI, the imaging process may be as disclosed in U.S. Patent Application 11/946,002 to Park, which is entitled "Generating MRI Images Usable For The Creation Of 3D Bone Models Employed To Make Customized Arthroplasty Jigs," was filed November 27, 2007 and is incorporated by reference in its entirety into this Detailed Description.
[079] As can be understood from FIG. 1A, the 2D images are sent to the computer 6 for creating computer generated 3D models. As indicated in FIG. 1 B, in one embodiment, point P is identified in the 2D images 16 [block 105]. In one embodiment, as indicated in [block 105] of FIG. 1A, point P may be at the approximate medial-lateral and anterior-posterior center of the patient's joint 14. In other embodiments, point P may be at any other location in the 2D images 16, including anywhere on, near or away from the bones 18, 20 or the joint 14 formed by the bones 18, 20.
[080] As described later in this overview, point P may be used to locate the computer generated 3D models 22, 28, 36 created from the 2D images 16 and to integrate information generated via the 3D models. Depending on the embodiment, point P, which serves as a position and/or orientation reference, may be a single point, two points, three points, a point plus a plane, a vector, etc., so long as the reference P can be used to position and/or orient the 3D models 22, 28, 36 generated via the 2D images 16.
[081] As shown in FIG. 1 C, the 2D images 16 are employed to create computer generated 3D bone-only (i.e., "bone models") 22 of the bones 18, 20 forming the patient's joint 14 [block 110]. The bone models 22 are located such that point P is at coordinates (X0-J, Yo-j, Z0.j) relative to an origin (X0, Yo, Z0) of an X-Y-Z axis [block 110]. The bone models 22 depict the bones 18, 20 in the present deteriorated condition with their respective degenerated joint surfaces 24, 26, which may be a result of osteoarthritis, injury, a combination thereof, etc.
[082] Computer programs for creating the 3D computer generated bone models 22 from the 2D images 16 include: Analyze from AnalyzeDirect, Inc., Overland Park, KS; Insight Toolkit, an open-source software available from the National Library of Medicine Insight Segmentation and Registration Toolkit ("ITK"), www.itk.org; 3D Slicer, an open-source software available from www.slicer.org; Mimics from Materialise, Ann Arbor, Ml; and Paraview available at www.paraview.org.
[083] As indicated in FIG. 1C, the 3D computer generated bone models 22 are utilized to create 3D computer generated "restored bone models" or "planning bone models" 28 wherein the degenerated surfaces 24, 26 are modified or restored to approximately their respective conditions prior to degeneration [block 115]. Thus, the bones 18, 20 of the restored bone models 28 are reflected in approximately their condition prior to degeneration. The restored bone models 28 are located such that point P is at coordinates (Xo-j, Yo-j, Z0-j) relative to the origin (X0, Yo, Z0). Thus, the restored bone models 28 share the same orientation and positioning relative to the origin (X0, Yo, Z0) as the bone models 22. [084] In one embodiment, the restored bone models 28 are manually created from the bone models 22 by a person sitting in front of a computer 6 and visually observing the bone models 22 and their degenerated surfaces 24, 26 as 3D computer models on a computer screen 9. The person visually observes the degenerated surfaces 24, 26 to determine how and to what extent the degenerated surfaces 24, 26 on the 3D computer bone models 22 need to be modified to generally restore them to their pre-degenerated condition or an estimation or approximation of their pre-degenerated state. By interacting with the computer controls 11 , the person then manually manipulates the 3D degenerated surfaces 24, 26 via the 3D modeling computer program to restore the surfaces 24, 26 to a state the person believes to represent the pre-degenerated condition. The result of this manual restoration process is the computer generated 3D restored bone models 28, wherein the surfaces 24', 26' are indicated in a non-degenerated state. In other words, the result is restored bone models 28 that can be used to represent the natural, pre-degenerated alignment and configuration of the patient's knee joint whether that pre-degenerated alignment and configuration was varus, valgus or neutral.
[085] In one embodiment, the above-described bone restoration process is generally or completely automated to occur via a processor employing the methods disclosed herein. In other words, a computer program may analyze the bone models 22 and their degenerated surfaces 24, 26 to determine how and to what extent the degenerated surfaces 24, 26 surfaces on the 3D computer bone models 22 need to be modified to restore them to their pre-degenerated condition or an estimation or approximation of their pre-degenerated state. The computer program then manipulates the 3D degenerated surfaces 24, 26 to restore the surfaces 24, 26 to a state intended to represent the pre-degenerated condition. The result of this automated restoration process is the computer generated 3D restored bone models 28, wherein the surfaces 24', 26' are indicated in a non-degenerated state. A discussion of various embodiments of the automated restoration process employed to a greater or lesser extent by a computer is provided later in this Detailed Description.
[086] As depicted in FIG. 1C, the restored bone models 28 are employed in a preoperative planning ("POP") procedure to determine saw cut locations 30 and drill hole locations 32 in the patient's bones that will allow the arthroplasty joint implants, whether in the context of total joint arthroplasty or partial or compartmentalized joint arthroplasty, to generally restore the patient's joint line to its pre-degenerative or natural alignment [block 120].
[087] In one embodiment, the POP procedure is a manual process, wherein computer generated 3D implant models 34 (e.g., femur and tibia implants in the context of the joint being a knee) and restored bone models 28 are manually manipulated relative to each other by a person sitting in front of a computer 6 and visually observing the implant models 34 and restored bone models 28 on the computer screen 9 and manipulating the models 28, 34 via the computer controls 11. By superimposing the implant models 34 over the restored bone models 28, or vice versa, the joint surfaces of the implant models 34 can be aligned or caused to correspond with the joint surfaces of the restored bone models 28. By causing the joint surfaces of the models 28, 34 to so align, the implant models 34 are positioned relative to the restored bone models 28 such that the saw cut locations 30 and drill hole locations 32 can be determined relative to the restored bone models 28.
[088] In one embodiment, the POP process is generally or completely automated. For example, a computer program may manipulate computer generated 3D implant models 34 (e.g., femur and tibia implants in the context of the joint being a knee) and restored bone models or planning bone models 8 relative to each other to determine the saw cut and drill hole locations 30, 32 relative to the restored bone models 28. The implant models 34 may be superimposed over the restored bone models 28, or vice versa. In one embodiment, the implant models 34 are located at point P' (X0-k, Yo-k, Zo-k) relative to the origin (X0, Yo, Z0), and the restored bone models 28 are located at point P (X0-J, Yo-j, Z0-j). To cause the joint surfaces of the models 28, 34 to correspond, the computer program may move the restored bone models 28 from point P (X0-J, Y0-J, Zo-j) to point P' (X0-k, Yo-k, Z0.k), or vice versa. Once the joint surfaces of the models 28, 34 are in close proximity, the joint surfaces of the implant models 34 may be shape-matched to align or correspond with the joint surfaces of the restored bone models 28. By causing the joint surfaces of the models 28, 34 to so align, the implant models 34 are positioned relative to the restored bone models 28 such that the saw cut locations 30 and drill hole locations 32 can be determined relative to the restored bone models 28. [089] As indicated in FIG. 1 E, in one embodiment, the data 44 regarding the saw cut and drill hole locations 30, 32 relative to point P' (X0-k, Yo-k, Z0-k) is packaged or consolidated as the "saw cut and drill hole data" 44 [block 145]. The "saw cut and drill hole data" 44 is then used as discussed below with respect to [block 150] in FIG. 1 E.
[090] As can be understood from FIG. 1 D, the 2D images 16 employed to generate the bone models 22 discussed above with respect to [block 110] of FIG. 1C are also used to create computer generated 3D bone and cartilage models (i.e., "arthritic models") 36 of the bones 18, 20 forming the patient's joint 14 [block 130]. Like the above-discussed bone models 22, the arthritic models 36 are located such that point P is at coordinates (Xo-j, Yo-j, Z0-j) relative to the origin (X0, Yo, Z0) of the X-Y-Z axis [block 130]. Thus, the bone and arthritic models 22, 36 share the same location and orientation relative to the origin (X0, Yo, Z0). This position/orientation relationship is generally maintained throughout the process discussed with respect to FIGS 1 B-1 E. Accordingly, movements relative to the origin (X0, Yo, Z0) of the bone models 22 and the various descendants thereof (i.e., the restored bone models 28, bone cut locations 30 and drill hole locations 32) are also applied to the arthritic models 36 and the various descendants thereof (i.e., the jig models 38). Maintaining the position/orientation relationship between the bone models 22 and arthritic models 36 and their respective descendants allows the "saw cut and drill hole data" 44 to be integrated into the "jig data" 46 to form the "integrated jig data" 48 employed by the CNC machine 10 to manufacture the customized arthroplasty jigs 2.
[091] Computer programs for creating the 3D computer generated arthritic models 36 from the 2D images 16 include: Analyze from AnalyzeDirect, Inc., Overland Park, KS; Insight Toolkit, an open-source software available from the National Library of Medicine Insight Segmentation and Registration Toolkit ("ITK"), www.itk.org; 3D Slicer, an open-source software available from www.slicer.org; Mimics from Materialise, Ann Arbor, Ml; and Paraview available at www.paraview.org.
[092] Similar to the bone models 22, the arthritic models 36 depict the bones 18, 20 in the present deteriorated condition with their respective degenerated joint surfaces 24, 26, which may be a result of osteoarthritis, injury, a combination thereof, etc. However, unlike the bone models 22, the arthritic models 36 are not bone-only models, but include cartilage in addition to bone. Accordingly, the arthritic models 36 depict the arthroplasty target areas 42 generally as they will exist when the customized arthroplasty jigs 2 matingly receive the arthroplasty target areas 42 during the arthroplasty surgical procedure.
[093] As indicated in FIG. 1 D and already mentioned above, to coordinate the positions/orientations of the bone and arthritic models 36, 36 and their respective descendants, any movement of the restored bone models 28 from point P to point P' is tracked to cause a generally identical displacement for the "arthritic models" 36 [block 135].
[094] As depicted in FIG. 1 D, computer generated 3D surface models 40 of the arthroplasty target areas 42 of the arthritic models 36 are imported into computer generated 3D arthroplasty jig models 38 [block 140]. Thus, the jig models 38 are configured or indexed to matingly receive the arthroplasty target areas 42 of the arthritic models 36. Jigs 2 manufactured to match such jig models 38 will then matingly receive the arthroplasty target areas of the actual joint bones during the arthroplasty surgical procedure.
[095] In one embodiment, the procedure for indexing the jig models 38 to the arthroplasty target areas 42 is a manual process. The 3D computer generated models 36, 38 are manually manipulated relative to each other by a person sitting in front of a computer 6 and visually observing the jig models 38 and arthritic models 36 on the computer screen 9 and manipulating the models 36, 38 by interacting with the computer controls 11. In one embodiment, by superimposing the jig models 38 (e.g., femur and tibia arthroplasty jigs in the context of the joint being a knee) over the arthroplasty target areas 42 of the arthritic models 36, or vice versa, the surface models 40 of the arthroplasty target areas 42 can be imported into the jig models 38, resulting in jig models 38 indexed to matingly receive the arthroplasty target areas 42 of the arthritic models 36. Point P' (X0-K, Yo-k, Z0-k) can also be imported into the jig models 38, resulting in jig models 38 positioned and oriented relative to point P' (X0-K, Y0-K, Z0-k) to allow their integration with the bone cut and drill hole data 44 of [block 125].
[096] In one embodiment, the procedure for indexing the jig models 38 to the arthroplasty target areas 42 is generally or completely automated, as disclosed in U.S. Patent Application 11/959,344 to Park, which is entitled System and Method for Manufacturing Arthroplasty Jigs, was filed December 18, 2007 and is incorporated by reference in its entirety into this Detailed Description. For example, a computer program may create 3D computer generated surface models 40 of the arthroplasty target areas 42 of the arthritic models 36. The computer program may then import the surface models 40 and point P' (X0-K, Yo-k, Z0-k) into the jig models 38, resulting in the jig models 38 being indexed to matingly receive the arthroplasty target areas 42 of the arthritic models 36. The resulting jig models 38 are also positioned and oriented relative to point P' (X0-K, Y0-k, Z0-k) to allow their integration with the bone cut and drill hole data 44 of [block125].
[097] In one embodiment, the arthritic models 36 may be 3D volumetric models as generated from the closed-loop process discussed in U.S. Patent Application 11/959,344 filed by Park. In other embodiments, the arthritic models 36 may be 3D surface models as generated from the open-loop process discussed in U.S. Patent Application 11/959,344 filed by Park.
[098] As indicated in FIG. 1 E, in one embodiment, the data regarding the jig models 38 and surface models 40 relative to point P' (X0-k, Yo-k, Z0-k) is packaged or consolidated as the "jig data" 46 [block 145]. The "jig data" 46 is then used as discussed below with respect to [block 150] in FIG. 1 E.
[099] As can be understood from FIG. 1 E, the "saw cut and drill hole data" 44 is integrated with the "jig data" 46 to result in the "integrated jig data" 48 [block 150]. As explained above, since the "saw cut and drill hole data" 44, "jig data" 46 and their various ancestors (e.g., models 22, 28, 36, 38) are matched to each other for position and orientation relative to point P and P', the "saw cut and drill hole data" 44 is properly positioned and oriented relative to the "jig data" 46 for proper integration into the "jig data" 46. The resulting "integrated jig data" 48, when provided to the CNC machine 10, results in jigs 2: (1 ) configured to matingly receive the arthroplasty target areas of the patient's bones; and (2) having cut slots and drill holes that facilitate preparing the arthroplasty target areas in a manner that allows the arthroplasty joint implants to generally restore the patient's joint line to its pre- degenerated state or, in other words, the joint's natural alignment. [010O]As can be understood from FIGS. 1A and 1 E, the "integrated jig data" 44 is transferred from the computer 6 to the CNC machine 10 [block 155]. Jig blanks 50 are provided to the CNC machine 10 [block 160], and the CNC machine 10 employs the "integrated jig data" to machine the arthroplasty jigs 2 from the jig blanks 50.
[0101] For a discussion of example customized arthroplasty cutting jigs 2 capable of being manufactured via the above-discussed process, reference is made to FIGS. 1 F-11. While, as pointed out above, the above-discussed process may be employed to manufacture jigs 2 configured for arthroplasty procedures (e.g., total joint replacement, partial joint replacement, joint resurfacing, etc.) involving knees, elbows, ankles, wrists, hips, shoulders, vertebra interfaces, etc., the jig examples depicted in FIGS. 1 F-1 I are for total knee replacement ("TKR") or partial knee replacement. Thus, FIGS. 1 F and 1G are, respectively, bottom and top perspective views of an example customized arthroplasty femur jig 2A, and FIGS. 1 H and 1 1 are, respectively, bottom and top perspective views of an example customized arthroplasty tibia jig 2B.
[0102] As indicated in FIGS. 1 F and 1G, a femur arthroplasty jig 2A may include an interior side or portion 100 and an exterior side or portion 102. When the femur cutting jig 2A is used in a TKR or partial knee replacement procedure, the interior side or portion 100 faces and matingly receives the arthroplasty target area 42 of the femur lower end, and the exterior side or portion 102 is on the opposite side of the femur cutting jig 2A from the interior portion 100.
[0103] The interior portion 100 of the femur jig 2A is configured to match the surface features of the damaged lower end (i.e., the arthroplasty target area 42) of the patient's femur 18. Thus, when the target area 42 is received in the interior portion 100 of the femur jig 2A during the TKR or partial knee replacement surgery, the surfaces of the target area 42 and the interior portion 100 match.
[0104]The surface of the interior portion 100 of the femur cutting jig 2A is machined or otherwise formed into a selected femur jig blank 5OA and is based or defined off of a 3D surface model 40 of a target area 42 of the damaged lower end or target area 42 of the patient's femur 18. [0105]As indicated in FIGS. 1 H and 11, a tibia arthroplasty jig 2B may include an interior side or portion 104 and an exterior side or portion 106. When the tibia cutting jig 2B is used in a TKR or partial knee replacement procedure, the interior side or portion 104 faces and matingly receives the arthroplasty target area 42 of the tibia upper end, and the exterior side or portion 106 is on the opposite side of the tibia cutting jig 2B from the interior portion 104.
[0106] The interior portion 104 of the tibia jig 2B is configured to match the surface features of the damaged upper end (i.e., the arthroplasty target area 42) of the patient's tibia 20. Thus, when the target area 42 is received in the interior portion 104 of the tibia jig 2B during the TKR or partial knee replacement surgery, the surfaces of the target area 42 and the interior portion 104 match.
[0107] The surface of the interior portion 104 of the tibia cutting jig 2B is machined or otherwise formed into a selected tibia jig blank 5OB and is based or defined off of a 3D surface model 40 of a target area 42 of the damaged upper end or target area 42 of the patient's tibia 20.
[0108]b. Overview of Automated Processes for Restoring Damaged Regions of 3D Bone Models to Generate 3D Restored Bone Models
[0109]As mentioned above with respect to [block 115] of FIG. 1 C, the process for restoring damaged regions of 3D "bone models" 22 to generate 3D "restored bone models" 28 can be automated to be carried out to a greater or lesser extent by a computer. A discussion of various examples of such an automated process will now concern the remainder of this Detailed Description, beginning with an overview of various automated bone restoration processes.
[011O]As can be understood from FIG. 1A and [blocks 100-105] of FIG. 1 B, a patient 12 has a joint 14 (e.g., a knee, elbow, ankle, wrist, shoulder, hip, vertebra interface, etc.) to be replaced (e.g., partially or totally) or resurfaced. The patient 12 has the joint 14 scanned in an imaging machine 10 (e.g., a CT, MRI, etc. machine) to create a plurality of 2D scan images 16 of the bones (e.g., femur 18 and tibia 20) forming the patient's joint 14 (e.g., knee). The process of creating the 2D scan images or slices 16 may occur as disclosed in 11/946,002, which was filed by Park November 27, 2007 and is incorporated by reference in its entirety into this Detailed Description. Each scan image 16 is a thin slice image of the targeted bone(s) 18, 20. The scan images 16 are sent to the CPU 7, which may employ an open-loop or closed-loop image analysis along targeted features 42 of the scan images 16 of the bones 18, 20 to generate a contour line for each scan image 16 along the profile of the targeted features 42. The process of generating contour lines for each scan image 16 may occur as disclosed in 11/959,344, which is incorporated by reference in its entirety into this Detailed Description.
[0111]As can be understood from FIG. 1A and [block 110] of FIG. 1C, the CPU 7 compiles the scan images 16 and, more specifically, the contour lines to generate 3D computer surface or volumetric models ("bone models") 22 of the targeted features 42 of the patient's joint bones 18, 20. In the context of total knee replacement ("TKR") or partial knee replacement surgery, the targeted features 42 may be the lower or knee joint portions of the patient's femur 18 and the upper or knee joint portions of the patient's tibia 20. More specifically, for the purposes of generating the femur bone models 22, the targeted features 42 may include the condyle portion of the femur and may extend upward to include at least a portion of the femur shaft. Similarly, for purposes of generating the tibia bone models 22, the targeted features 42 may include the plateau portion of the tibia and may extend downward to include at least a portion of the tibia shaft.
[0112] In some embodiments, the "bone models" 22 may be surface models or volumetric solid models respectively formed via an open-loop or closed-loop process such that the contour lines are respectively open or closed loops. Regardless, the bone models 22 are bone-only 3D computer generated models of the joint bones that are the subject of the arthroplasty procedure. The bone models 22 represent the bones in the deteriorated condition in which they existed at the time of the medical imaging of the bones.
[0113] To allow for the POP procedure, wherein the saw cut and drill hole locations 30, 32 are determined as discussed with respect to [block 120] of FIG. 1 C, the "bone models" 22 and/or the image slices 16 (see [block 100] of FIG. 1 B) are modified to generate a 3D computer generated model that approximates the condition of the patient's bones prior to their degeneration. In other words, the resulting 3D computer generated model, which is termed a "restored bone model" 28, approximates the patient's bones in a non-degenerated or healthy state and can be used to represent the patient's joint in its natural alignment prior to degeneration.
[0114] In one embodiment, the bone restoration process employed to generate the restored bone model 28 from the bone model 22 or image slices 16 may be as indicated in the process diagram depicted in FIG. 2. As shown in FIG. 2, the damaged and reference sides of a joint bone to undergo an arthroplasty procedure are identified from the 3D computer generated "bone model" [block 200]. The damaged side is the side or portion of the joint bone that needs to be restored in the bone model 22, and the reference side is the side of the joint bone that is generally undamaged or at least sufficiently free of deterioration that it can serve as a reference for restoring the damaged side.
[0115] As can be understood from FIG. 2, reference data or information (e.g., in the form of ellipses, ellipse axes, and/or vectors in the form of lines and/or planes) is then determined from the reference side of the joint bone [block 205]. The reference information or data is then applied to the damaged side of the joint bone [block 215]. For example, in a first embodiment and in the context of a knee joint, a vector associated with a femur condyle ellipse of the reference side is determined and applied to the damaged side femur condyle and damaged side tibia plateau. In a second embodiment and in the context of a knee joint, a vector associated with the highest anterior and posterior points of a tibia plateau of the reference side is determined and applied to the damaged side femur condyle and damaged side tibia plateau. These vectors are generally parallel with the condyle ellipse and generally parallel with the knee joint line.
[0116] As indicated in FIG. 2, each joint contour line associated with a 2D image slice of the damaged side of the joint bone is caused to extend to the reference vector or ellipse [block 220]. This restoration process is carried out slice-by-slice for the joint contour lines of most, if not all, image slices associated with the damaged side of the joint. The 3D "bone model" is then reconstructed into the 3D "restored bone model" from the restored 2D images slices [block 225].
[0117] Once generated from the "bone model" 22, the "restored bone model" 28 can then be employed in the POP process discussed with respect to [block 120] of FIG. 1C. As discussed with respect to [blocks 125 and 150], "saw cut and drill hole data" resulting from the POP process is indexed into "jig data" 46 to create "integrated jig data" 48. As discussed with respect to [blocks 155-165] of FIG. 1 E, the "integrated jig data" 48 is utilized by a CNC machine 10 to produce customized arthroplasty jigs 2.
[0118] The systems 4 and methods disclosed herein allow for the efficient manufacture of arthroplasty jigs 2 customized for the specific bone features of a patient. Each resulting arthroplasty jig 2 includes an interior portion dimensioned specific to the surface features of the patient's bone that are the focus of the arthroplasty. Each jig 2 also includes saw cut slots and drill holes that are indexed relative to the interior portion of the jig such that saw cuts and drill holes administered to the patient's bone via the jig will result in cuts and holes that will allow joint implants to restore the patient's joint line to a pre-degenerated state or at least a close approximation of the pre-degenerated state.
[0119] Where the arthroplasty is for TKR or partial knee replacement surgery, the jigs will be a femur jig and/or a tibia jig. The femur jig will have an interior portion custom configured to match the damaged surface of the lower or joint end of the patient's femur. The tibia jig will have an interior portion custom configured to match the damaged surface of the upper or joint end of the patient's tibia.
[0120] The jigs 2 and systems 4 and methods of producing such jigs are illustrated herein in the context of knees and TKR or partial knee replacement surgery. However, those skilled in the art will readily understand the jigs 2 and system 4 and methods of producing such jigs can be readily adapted for use in the context of other joints and joint replacement or resurfacing surgeries, e.g., surgeries for elbows, shoulders, hips, etc. Accordingly, the disclosure contained herein regarding the jigs 2 and systems 4 and methods of producing such jigs should not be considered as being limited to knees and TKR or partial knee replacement surgery, but should be considered as encompassing all types of joint surgeries.
[0121] c. Overview of the Mechanics of an Accurate Restored Bone Model
[0122]An overview discussion of the mechanics of an accurate restored bone model 28 will first be given before discussing any of the bone restoration procedures disclosed herein. While this overview discussion is given in the context of a knee joint 14 and, more particularly, a femur restored bone model 28A and a tibia restored bone model 28B, it should be remembered that this discussion is applicable to other joints (e.g., elbows, ankles, wrists, hips, spine, etc.) and should not be considered as being limited to knee joints 14, but to included all joints.
[0123]As shown in FIG. 3A, which is a coronal view of a distal or knee joint end of a femur restored bone model 28A, points D-i, D2 represent the most distal tangent contact points of each of the femoral lateral and medial condyles 300, 302, respectively. In other words, points D1, D2 represent the lowest contact points of each of the femoral lateral and medial condyles 300, 302 when the knee is in zero degree extension. Line DiD2 can be obtained by extending across the two tangent contact points Di, D2. In this femur restored bone model 28A, line DiD2 is parallel or nearly parallel to the joint line of the knee when the knee is in zero degree extension.
[0124]The reference line N1 is perpendicular to line DiD2 at point D1 and can be considered to represent a corresponding 2D image slice 16 taken along line N1. The reference line N2 is perpendicular to line DiD2 at point D2 and can be considered to represent a corresponding 2D image slice 16 taken along line N2. The cross- sectional 2D image slices 16 taken along lines N1 , N2 are perpendicular or nearly perpendicular to the tangent line DiD2 and joint line.
[0125]As shown in FIG. 3B, which is an axial view of a distal or knee joint end of a femur restored bone model 28A, points Pi, P2 represent the most posterior tangent contact points of each of the femoral lateral and medial condyles 300, 302, respectively. In other words, points Pi, P2 represent the lowest contact points of each of the femoral lateral and medial condyles 300, 302 when the knee is in 90 degree extension. Line PiP2 can be obtained by extending across the two tangent contact points P1, P2. In this femur restored bone model 28A, line PiP2 is parallel or nearly parallel to the joint line of the knee when the knee is in 90 degree flexion.
[0126] The reference line N3 is perpendicular to line PiP2 at point Pi and can be considered to represent a corresponding 2D image slice 16 taken along line N3. In some instances, the lines N1 , N3 may occupy generally the same space on the femur restored bone model 28A or lines N1 , N3 may be offset to a greater or lesser extent from each other along the joint line of the knee. The reference line N4 is perpendicular to line PiP2 at point P2 and can be considered to represent a corresponding 2D image slice 16 taken along line N4. In some instances, the lines N2, N4 may occupy generally the same space on the femur restored bone model 28A or lines N2, N4 may be offset to a greater or lesser extent from each other along the joint line of the knee. The cross-sectional 2D image slices 16 taken along lines N3, N4 are perpendicular or nearly perpendicular to the tangent line PiP2 and joint line.
[0127]As shown in FIG. 3C, which is a coronal view of a proximal or knee joint end of a tibia restored bone model 28B, points Ri, R2 represent the lowest tangent contact points of each of the tibial lateral and medial plateaus 304, 306, respectively. In other words, points R-i, R2 represent the lowest points of contact of the tibia plateau with the femur condyles when the knee is in zero degree extension. Line RiR2 can be obtained by extending across the two tangent contact points Ri, R2. In this tibia restored bone model 28B, line RiR2 is parallel or nearly parallel to the joint line of the knee when the knee is in zero degree extension. Also, when the knee joint is in zero degree extension, line RiR2 is parallel or nearly parallel to line DiD2. When the knee joint is in 90 degree extension, line RiR2 is parallel or nearly parallel to line PiP2.
[0128] The reference line N1 is perpendicular to line RiR2 at point Ri and can be considered to represent a corresponding 2D image slice 16 taken along line N1. The reference line N2 is perpendicular to line RiR2 at point R2 and can be considered to represent a corresponding 2D image slice 16 taken along line N2. The cross- sectional 2D image slices 16 taken along lines N1 , N2 are perpendicular or nearly perpendicular to the tangent line RiR2 and joint line. Because both the femur and tibia restored bone modesl 28A, 28B represent the knee joint 14 prior to degeneration or damage, lines N1 , N2 of the femur restored model 28A in FIG. 1A align with and may be the same as lines N1 , N2 of the tibia restored bone model 28B when the knee joint is in zero degree extension. Thus, points Di, D2 align with points Ri, R2 when the knee joint is in zero degree extension.
[0129] FIG. 3D represents the femur and tibia restored bone models 28A, 28B in the views depicted in FIGS. 3A and 3C positioned together to form a knee joint 14. FIG. 3D shows the varus/valgus alignment of the femur and tibia restored bone models 28A, 28B intended to restore the patient's knee joint 14 back to its pre-OA or pre- degenerated state, wherein the knee joint 14 is shown in zero degree extension and in its natural alignment (e.g., neutral, varus or valgus) as the knee joint existed prior to degenerating. The respective locations of the lateral collateral ligament ("LCL") 308 and medial collateral ligament ("MCL") 310 are indicated in FIG. 3D by broken lines and serve as stabilizers for the side-to-side stability of the knee joint 14.
[013O]As can be understood from FIGS. 3A, 3C and 3D, when the knee joint 14 is in zero degree extension, lines N1 , N2 are parallel or nearly parallel to the LCL 308 and MCL 310. Gap t1 represents the distance between the tangent contact point D1 of the femoral lateral condyle 300 and the tangent contact point Ri of the tibia lateral plateau 304. Gap t2 represents the distance between the tangent contact point D2 of the femoral medial condyle 302 and the tangent contact point R2 of the medial tibia plateau 306. For a properly restored knee joint 14, as depicted in FIG. 3D, in one embodiment, with respect to varus/valgus rotation and alignment, t1 is substantially equal to t2 such that the difference between t1 and t2 is less than one millimeter (e.g., [t1-t2] « 1 mm). Accordingly, line DiD2 is parallel or nearly parallel to the joint line and line RiR2.
[0131] FIG. 3E represents the femur and tibia restored bone models 28A, 28B in the views depicted in FIGS. 3B and 3C positioned together to form a knee joint 14. FIG. 3E shows the varus/valgus alignment of the femur and tibia restored bone models 28A, 28B intended to restore the patient's knee joint 14 back to its pre-OA or pre- degenerated state, wherein the knee joint 14 is shown in 90 degree flexion and in its natural alignment (e.g., neutral, varus or valgus) as the knee joint existed prior to degenerating. The respective locations of the lateral collateral ligament ("LCL") 308 and medial collateral ligament ("MCL") 310 are indicated in FIG. 3E by broken lines and serve as stabilizers for the side-to-side stability of the knee joint 14.
[0132]As can be understood from FIGS. 3B, 3C and 3E, when the knee joint 14 is in 90 degree flexion, lines N3, N4 are parallel or nearly parallel to the LCL 308 and MCL 310. Gap hi represents the distance between the tangent contact point Pi of the femoral lateral condyle 300 and the tangent contact point Ri of the tibia lateral plateau 304. Gap h2 represents the distance between the tangent contact point P2 of the femoral medial condyle 302 and the tangent contact point R2 of the medial tibia plateau 306. For a properly restored knee joint 14, as depicted in FIG. 3E, in one embodiment, with respect to varus/valgus rotation and alignment, hi is substantially equal to h2 such that the difference between hi and h2 is less than one millimeter (e.g., [h1-h2] « 1 mm). Accordingly, line PiP2 is parallel or nearly parallel to the joint line and line RiR2.
[0133] FIG. 3F is a sagittal view of the femoral medial condyle ellipse 300 and, more specifically, the N1 slice of the femoral medial condyle ellipse 300 as taken along line N1 in FIG. 3A. The contour line Ni in FIG. 3F represents the N1 image slice of the femoral medial condyle 300. The N1 image slice may be generated via such imaging methods as MRI, CT, etc. An ellipse contour 305 of the medial condyle 300 can be generated along contour line N-i. The ellipse 305 corresponds with most of the contour line Ni for the N1 image slice, including the posterior and distal regions of the contour line N1 and portions of the anterior region of the contour line Ni. As can be understood from FIG. 3F and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line Ni in a region of interest or region of contact Aj that corresponds to an region of the femoral medial condyle surface that contacts and displaces against the tibia medial plateau.
[0134] As can be understood from FIGS. 3A, 3B and 3F, the ellipse 305 can be used to determine the distal extremity of the femoral medial condyle 300, wherein the distal extremity is the most distal tangent contact point Di of the femoral medial condyle 300 of the N1 slice. Similarly, the ellipse 305 can be used to determine the posterior extremity of the femoral medial condyle 300, wherein the posterior extremity is the most posterior tangent contact point P1' of the femoral medial condyle 300 of the N1 slice. The ellipse origin point O-i, the ellipse major axis Pi'PP-i' and ellipse minor axis D1DDi can be obtained based on the elliptical shape of the N1 slice of the medial condyle 300 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
[0135] As can be understood from FIG. 3F and as mentioned above, the region of contact Aj represents or corresponds to the overlapping surface region between the medial tibia plateau 304 and the femoral medial condyle 300 along the N1 image slice. The region of contact Aj for the N1 image slice is approximately 120° of the ellipse 305 of the N1 image slice from just proximal the most posterior tangent contact point P1' to just anterior the most distal tangent contact point D1. [0136] FIG. 3G is a sagittal view of the femoral lateral condyle ellipse 302 and, more specifically, the N2 slice of the femoral lateral condyle ellipse 302 as taken along line N2 in FIG. 3A. The contour line N2 in FIG. 3G represents the N2 image slice of the femoral lateral condyle 302. The N2 image slice may be generated via such imaging methods as MRI, CT, etc. An ellipse contour 305 of the lateral condyle 302 can be generated along contour line N2. The ellipse 305 corresponds with most of the contour line N2 for the N2 image slice, including the posterior and distal regions of the contour line N2 and portions of the anterior region of the contour line N2. As can be understood from FIG. 3G and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line N2 in a region of interest or region of contact Aj that corresponds to an region of the femoral lateral condyle surface that contacts and displaces against the tibia lateral plateau.
[0137] As can be understood from FIGS. 3A, 3B and 3G, the ellipse 305 can be used to determine the distal extremity of the femoral lateral condyle 302, wherein the distal extremity is the most distal tangent contact point D2 of the femoral lateral condyle 302 of the N2 slice. Similarly, the ellipse 305 can be used to determine the posterior extremity of the femoral lateral condyle 302, wherein the posterior extremity is the most posterior tangent contact point P2' of the femoral lateral condyle 302 of the N2 slice. The ellipse origin point O2, the ellipse major axis P2 1PP2' and ellipse minor axis D2DD2 can be obtained based on the elliptical shape of the N2 slice of the lateral condyle 302 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
[0138] As can be understood from FIG. 3G and as mentioned above, the region of contact Aj represents or corresponds to the overlapping surface region between the lateral tibia plateau 306 and the femoral lateral condyle 302 along the N2 image slice. The region of contact Aj for the N2 image slice is approximately 120° of the ellipse 305 of the N2 image slice from just proximal the most posterior tangent contact point P2' to just anterior the most distal tangent contact point D2.
[0139] FIG. 3H is a sagittal view of the femoral medial condyle ellipse 300 and, more specifically, the N3 slice of the femoral medial condyle ellipse 300 as taken along line N3 in FIG. 3B. The contour line N3 in FIG. 3H represents the N3 image slice of the femoral medial condyle 300. The N3 image slice may be generated via such imaging methods as MRI, CT, etc. An ellipse contour 305 of the medial condyle 300 can be generated along contour line N3. The ellipse 305 corresponds with most of the contour line N3 for the N3 image slice, including the posterior and distal regions of the contour line N3 and portions of the anterior region of the contour line N3. As can be understood from FIG. 3H and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line N3 in a region of interest or region of contact A1 that corresponds to an region of the femoral medial condyle surface that contacts and displaces against the tibia medial plateau.
[014O]As can be understood from FIGS. 3A, 3B and 3H, the ellipse 305 can be used to determine the distal extremity of the femoral medial condyle 300, wherein the distal extremity is the most distal tangent contact point Di' of the femoral medial condyle 300 of the N3 slice. Similarly, the ellipse 305 can be used to determine the posterior extremity of the femoral medial condyle 300, wherein the posterior extremity is the most posterior tangent contact point Pi of the femoral medial condyle 300 of the N3 slice. The ellipse origin point O3, the ellipse major axis P1PP1 and ellipse minor axis D-i'DD-T can be obtained based on the elliptical shape of the N3 slice of the medial condyle 300 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
[0141] As can be understood from FIG. 3H and as mentioned above, the region of contact Ai represents or corresponds to the overlapping surface region between the medial tibia plateau 304 and the femoral medial condyle 300 along the N3 image slice. The region of contact Aj for the N3 image slice is approximately 120° of the ellipse 305 of the N3 image slice from just proximal the most posterior tangent contact point Pi to just anterior the most distal tangent contact point D-T.
[0142] FIG. 31 is a sagittal view of the femoral lateral condyle ellipse 302 and, more specifically, the N4 slice of the femoral lateral condyle ellipse 302 as taken along line N4 in FIG. 3B. The contour line N4 in FIG. 31 represents the N4 image slice of the femoral lateral condyle 302. The N4 image slice may be generated via such imaging methods as MRI, CT, etc. An ellipse contour 305 of the lateral condyle 302 can be generated along contour line N4. The ellipse 305 corresponds with most of the contour line N4 for the N4 image slice, including the posterior and distal regions of the contour line N4 and portions of the anterior region of the contour line N4. As can be understood from FIG. 3G and discussed in greater detail below, the ellipse 305 provides a relatively close approximation of the contour line N4 in a region of interest or region of contact Aj that corresponds to an region of the femoral lateral condyle surface that contacts and displaces against the tibia lateral plateau.
[0143] As can be understood from FIGS. 3A, 3B and 31, the ellipse 305 can be used to determine the distal extremity of the femoral lateral condyle 302, wherein the distal extremity is the most distal tangent contact point D2Of the femoral lateral condyle 302 of the N4 slice. Similarly, the ellipse 305 can be used to determine the posterior extremity of the femoral lateral condyle 302, wherein the posterior extremity is the most posterior tangent contact point P2 of the femoral lateral condyle 302 of the N4 slice. The ellipse origin point O4, the ellipse major axis P2PP2 and ellipse minor axis D2 1DD2' can be obtained based on the elliptical shape of the N4 slice of the lateral condyle 302 in conjunction with well-known mathematical calculations for determining the characteristics of an ellipse.
[0144]As can be understood from FIG. 31 and as mentioned above, the region of contact Aj represents or corresponds to the overlapping surface region between the lateral tibia plateau 306 and the femoral lateral condyle 302 along the N4 image slice. The region of contact Aj for the N4 image slice is approximately 120° of the ellipse 305 of the N4 image slice from just proximal the most posterior tangent contact point P2 to just anterior the most distal tangent contact point D2'.
[0145]While the preceding discussion is given in the context of image slices N1 , N2, N3 and N4, of course similar elliptical contour lines, ellipse axes, tangent contact points and contact regions may be determined for the other image slices generated during the imaging of the patient's joint and which are parallel to image slices N1 , N2, N3 and N4.
[0146]d. Employing Vectors From a Reference Side of a Joint to a Damaged Side of a Joint and Extending the Contour Lines of the Damaged Side to Meet the Vectors to Restore the Damaged Side
[0147] A discussion of methods for determining reference vectors from a reference side of a joint bone for use in restoring a damaged side of the joint bone is first given, followed by specific examples of the restoration process in the context of MRI images. While this overview discussion is given in the context of a knee joint 14 and, more particularly, femur and tibia bone models 22A, 22B being converted image slice by slice into femur and tibia restored bone models 28A, 28B, it should be remembered that this discussion is applicable to other joints (e.g., elbows, ankles, wrists, hips, spine, etc.) and should not be considered as being limited to knee joints 14, but to included all joints. Also, while the image slices are discussed in the context of MRI image slices, it should be remembered that this discussion is applicable to all types of medical imaging, including CT scanning.
[0148] For a discussion of the motion mechanism of the knee and, more specifically, the motion vectors associated with the motion mechanism of the knee, reference is made to FIGS. 4A and 4B. FIG. 4A is a sagital view of the lateral tibia plateau 304 with the lateral femur condyle ellipse 305 of the N1 slice of FIG. 3F superimposed thereon. FIG. 4B is a sagital view of the medial tibia plateau 306 with the lateral femur condyle ellipse 305 of the N2 slice of FIG. 3G superimposed thereon.
[0149] The motion mechanism for a human knee joint operates as follows. The femoral condyles glide on the corresponding tibia plateaus as the knee moves, and in a walking theme, as a person's leg swings forward, the femoral condyles and the corresponding tibia plateaus are not under the compressive load of the body. Thus, the knee joint movement is a sliding motion of the tibia plateaus on the femoral condyles coupled with a rolling of the tibia plateaus on the femoral condyles in the same direction. The motion mechanism of the human knee as the femur condyles and tibia plateaus move relative to each other between zero degree flexion and 90 degree flexion has associated motion vectors. As discussed below, the geometrical features of the femur condyles and tibia plateaus can be analyzed to determine vectors Ui, U2, V-i, V2, V3, V4 that are associated with image slices N1 , N2, N3 and N4. These vectors Ui, U2, V-i, V2, V3, V4 correspond to the motion vectors of the femur condyles and tibia plateaus moving relative to each other. The determined vectors Ui, U2, Vi, V2, V3, V4 associated with a healthy side of a joint 14 can be applied to a damaged side of a joint 14 to restore the bone model 22 to create a restored bone model 28.
[015O] In some embodiments of the bone restoration process disclosed herein and as just stated, the knee joint motion mechanism may be utilized to determine the vector references for the restoration of bone models 22 to restored bone models 28. As can be understood from a comparison of FIGS. 3F and 3G to FIGS. 4A and 4B, the Ui and U2 vectors respectively correspond to the major axes P1 1PPi' and P2 1PP2' of the ellipses 305 of the N1 and N2 slices. Since the major axes P-i'PP-T and P2 1PP2' exist in the N1 and N2 slices, which are planes generally perpendicular to the joint line, the Ui and U2 vectors may be considered to represent both vector lines and vector planes that are perpendicular to the joint line.
[0151] The Ui and U2 vectors are based on the joint line reference between the femur and the tibia from the zero degree flexion (full extension) to 90 degree flexion. The Ui and U2 vectors represent the momentary sliding movement force from zero degree flexion of the knee to any degree of flexion up to 90 degree flexion. As can be understood from FIGS. 4A and 4B, the Ui and U2 vectors, which are the vectors of the femoral condyles, are generally parallel to and project in the same direction as the Vi and V2 vectors of the tibia plateaus 321 , 322. The vector planes associated with these vectors U-i, U2, V-i, V2 are presumed to be parallel or nearly parallel to the joint line of the knee joint 14 represented by restored bone model 28A, 28B such as those depicted in FIGS. 3D and 3E.
[0152] As shown in FIGS. 4A and 4B, the distal portion of the ellipses 305 extend along and generally correspond with the curved surfaces 321 , 322 of the tibia plateaus. The curved portions 321 , 322 of the tibia plateaus that generally correspond with the distal portions of the ellipses 305 represent the tibia contact regions Ak, which are the regions that contact and displace along the femur condyles and correspond with the condyle contact regions Aj discussed with respect to FIGS. 3F-3I.
[0153] For a discussion of motion vectors associated with the tibia plateaus, reference is made to FIGS. 4C-4E. FIG. 4C is a top view of the tibia plateaus 304, 306 of a restored tibia bone model 28B. FIG. 4D is a sagital cross section through a lateral tibia plateau 304 of the restored bone model 28B of FIG. 4C and corresponding to the N3 image slice of FIG. of FIG. 3B. FIG. 4E is a sagital cross section through a medial tibia plateau 306 of the restored bone model 28B of FIG. 4C and corresponding to the N4 image slice of FIG. of FIG. 3B.
[0154] As shown in FIGS. 4C-4E, each tibia plateau 304, 306 includes a curved recessed condyle contacting surface 321 , 322 that is generally concave extending anterior/posterior and medial/lateral. Each curved recessed surface 321 , 322 is generally oval in shape and includes an anterior curved edge 323, 324 and a posterior curved edge 325, 326 that respectively generally define the anterior and posterior boundaries of the condyle contacting surfaces 321 , 322 of the tibia plateaus 304, 306. Depending on the patient, the medial tibia plateau 306 may have curved edges 324, 326 that are slightly more defined than the curved edges 323, 325 of the lateral tibia plateau 304.
[0155] Anterior tangent lines TQ3, TQ4 can be extended tangentially to the most anterior location on each anterior curved edge 323, 324 to identify the most anterior points Q3, Q4 of the anterior curved edges 323, 324. Posterior tangent lines TQ3', TQ4' can be extended tangentially to the most posterior location on each posterior curved edge 325, 326 to identify the most posterior points Q3', Q4' of the posterior curved edges 325, 326. Such anterior and posterior points may correspond to the highest points of the anterior and posterior portions of the respective tibia plateaus.
[0156] Vector line V3 extends through anterior and posterior points Q3, Q3', and vector line V4 extends through anterior and posterior points Q4, Q4'. Each vector line V3, V4 may align with the lowest point of the anterior-posterior extending groove/valley that is the elliptical recessed tibia plateau surface 321 , 322. The lowest point of the anterior-posterior extending groove/valley of the elliptical recessed tibia plateau surface 321 , 322 may be determined via simple ellipsoid calculus. Each vector V3, V4 will be generally parallel to the anterior-posterior extending valleys of its respective elliptical recessed tibia plateau surface 321 , 322 and will be generally perpendicular to it respective tangent lines TQ3, TQ4, TQ3-, TQ4'. The anterior-posterior extending valleys of the elliptical recessed tibia plateau surfaces 321 , 322 and the vectors V3, V4 aligned therewith may be generally parallel with and even exist within the N3 and N4 image slices depicted in FIG. 3B.
[0157] As can be understood from FIGS. 4A-4E, the V3 and V4 vectors, which are the vectors of the tibia plateaus, are generally parallel to and project in the same direction as the other tibia plateau vectors Vi and V2 and, as a result, the femur condyle vectors U-i, U2. The vector planes associated with these vectors Ui, U2, V-i, V2, V3 and V4 are presumed to be parallel or nearly parallel to the joint line of the knee joint 14 represented by restored bone models 28A, 28B such as those depicted in FIGS. 3D and 3E.
[0158]As indicated in FIGS. 4A-4C, tibia plateau vectors Vi and V2 in the N1 and N2 image slices can be obtained by superimposing the femoral condyle ellipses 305 of the N1 and N2 image slices onto their respective tibia plateaus. The ellipses 305 correspond to the elliptical tibia plateau surfaces 321 , 322 along the condyle contact regions Ak of the tibia plateaus 304, 306. The anterior and posterior edges 323, 324, 325, 326 of the elliptical tibia plateau surfaces 321 , 322 can be determined at the locations where the ellipses 305 cease contact with the plateau surfaces 321. 322. These edges 323, 324, 325, 326 are marked as anterior and posterior edge points Q1 , Q1 ', Q2, Q2' in respective image slices N1 and N2. Vector lines V1 and V2 are defined by being extended through their respective edge points Q1 , Q1 ', Q2, Q2'.
[0159]As can be understood from FIG. 4C, image slices N1 , N2, N3 and N4 and their respective vectors V-i, V2, V3 and V4 may be medially-laterally spaced apart a greater or lesser extent, depending on the patient. With some patients, the N1 and N3 image slices and/or the N2 and N4 image slices may generally medially-laterally align.
[0160] While the preceding discussion is given with respect to vectors U-i, U2, V-i, V2, V3 and V4, contact regions A1, Ak, and anterior and posterior edge points Q1 , Q1', Q2, Q2\ Q3, Q3', Q4, Q4' associated with image slices N1 , N2, N3 and N4, similar vectors, contact regions, and anterior and posterior edge points can be determined for the other image slices 16 used to generate the 3D computer generated bone models 22 (see [block 100] - [block 110] of FIGS. 1A-1 C).
[0161] As illustrated via the following examples given with respect to MRI slices, vectors similar to the Ui, U2, V-i, V2, V3, V4 vectors of FIGS. 4A-4E can be employed in restoring image slice -by- image slice the bone models 22A, 22B into restored bone models 28A, 28B. For example, a bone model 22 includes a femur bone model 22A and a tibia bone model 22B. The bone models 22A, 22B are 3D bone- only computer generated models compiled via any of the above-mentioned 3D computer programs from a number of image slices 16, as discussed with respect to [blocks 100] - [block 110] of FIGS. 1A-1 C. Depending on the circumstances and generally speaking, either the medial side of the bone models will be generally undamaged and the lateral side of the bone models will be damaged, or vice versa.
[0162] For example, as indicated in FIG. 4F, which is a posterior-lateral perspective view of femur and tibia bone models 22A, 22B forming a knee joint 14, the medial sides 302, 306 of the bone models 22A, 22B are in a generally non-deteriorated condition and the lateral sides 300, 304 of the bone models 22A, 22B are in a generally deteriorated or damaged condition. The lateral sides 300, 304 of the femur and tibia bone models 22A, 22B depict the damaged bone attrition on the lateral tibia plateau and lateral femoral condyle. The lateral sides 300, 304 illustrate the typical results of OA, specifically joint deterioration in the region of arrow Ls between the femoral lateral condyle 300 and the lateral tibia plateau 304, including the narrowing of the lateral joint space 330 as compared to medial joint space 332. As the medial sides 302, 306 of the bone models 22A, 22B are generally undamaged, these sides 302, 306 will be identified as the reference sides of the 3D bone models 22A, 22B (see [block 200] of FIG. 2). Also, as the lateral sides 300, 304 of the bone models 22A, 22B are damaged, these sides 300, 304 will be identified as the damaged sides of the 3D bone models 22A, 22B (see [block 200] of FIG. 2) and targeted for restoration, wherein the images slices 16 associated with the damaged sides 300, 304 of the bone models 22A, 22B are restored slice-by-slice.
[0163] Reference vectors like the U-i, U2, \Λ, V2, V3, V4 vectors may be determined from the reference side of the bone models 22A, 22B (see [block 205] of FIG. 2). Thus, as can be understood from FIGS. 4B and 4F, since the medial sides 302, 306 are the reference sides 302, 306, the reference vectors U2, V2 V4 may be applied to the damaged sides 300, 304 to restore the damaged sides 300, 304 2D image slice by 2D image slice (see [block 215] - [block 220] of FIG. 2). The restored image slices are then recompiled into a 3D computer generated model, the result being the 3D computer generated restored bone models 28A, 28B (see [block 225] of FlG. 2).
[0164] As shown in FIG. 4G, which is a posterior-lateral perspective view of femur and tibia restored bone models 28A, 28B forming a knee joint 14, the lateral sides 300, 304 of the restored bone models 28A, 28B have been restored such that the lateral and medial joint spaces 330, 332 are generally equal. In other words, the distance t1 between the lateral femur condyle and lateral tibia plateau is generally equal to the distance t2 between the medial femur condyle and the medial tibia plateau.
[0165]The preceding discussion has occurred in the context of the medial sides 302, 306 being the reference sides and the lateral sides 300, 304 being the damaged sides; the reference vectors U2, V2 and V4 of the medial sides 302, 306 being applied to the damaged sides 300, 304 in the process of restoring the damaged sides 300, 304. Of course, as stated above, the same process could occur in a reversed context, wherein the lateral sides 300, 304 are generally undamaged and are identified as the reference sides, and the medial sides 302, 306 are damaged and identified as the damaged sides. The reference vectors U-i, V1 and V3 of the lateral sides 300, 304 can then be applied to the damaged sides 302, 306 in the process of restoring the damaged sides 302, 306.
[0166] Multiple approaches are disclosed herein for identifying reference vectors and applying the reference vectors to a damaged side for the restoration thereof. For example, as can be understood from FIGS. 4B and 4F, where the medial sides 302, 306 are the undamaged reference sides 302, 304 and the lateral sides 300, 304 the damaged sides 300, 304, in one embodiment, the ellipses and vectors associated with the reference side femur condyle 302 (e.g., the ellipse 305 of the N2 slice and the vector U2) can be applied to the damaged side femur condyle 300 and damaged side tibia plateau 304 to restore the damaged condyle 300 and damaged plateau 304. Alternatively or additionally, the ellipses and vectors associated with the reference side femur condyle 302 as applied to the reference side tibia plateau 306 (e.g., the ellipse 305 of the N2 slice and the vector V2) can be applied to the damaged side femur condyle 300 and damaged side tibia plateau 304 to restore the damaged condyle 300 and damaged plateau 304. In another embodiment, as can be understood from FIGS. 4C, 4E and 4F, the vectors associated with the reference side tibia plateau 306 (e.g., the vector V4) can be applied to the damaged side femur condyle 300 and damaged side tibia plateau 304 to restore the damaged condyle 300 and damaged plateau 304. Of course, if the conditions of the sides 300, 302, 304, 306 were reversed in FIG. 4F, the identification of the reference sides, the damaged sides, the reference vectors and the application thereof would be reversed from examples given in this paragraph. [0167] 1. Employing Vectors From a Femur Condyle of a Reference Side of a
Knee Joint to Restore the Femur Condyle and Tibia Plateau of the Damaged Side
[0168] For a discussion of a first scenario, wherein the medial sides 302, 306 are the damaged sides and the lateral sides 300, 304 are the reference sides, reference is made to FIGS. 5A-5B. FIGS. 5A is a coronal view of a femur bone model 22A, and FIG. 5B is a coronal view of a tibia bone model 22B.
[0169] As shown in FIG. 5A, the medial femur condyle 302 is deteriorated in region 400 such that the most distal point of the medial condyle 302 fails to intersect point D2 on line D1D2, which will be corrected once the femur bone model 22A is properly restored to a restored femur bone model 28A such as that depicted in FIG. 3A. As illustrated in FIG. 5B, the medial tibia plateau 306 is deteriorated in region 401 such that the lowest point of the medial plateau 306 fails to intersect point R2 on line RiR2, which will be corrected once the tibia bone model 22B is properly restored to a restored tibia bone model 28B such as that depicted in FIG. 3C. Because the medial condyle 302 and medial plateau 306 of the bone models 22A, 22B are deteriorated, they will be identified as the damaged sides and targeted for restoration ([block 200] of FIG. 2).
[017O]As illustrated in FIG. 5A, the lateral condyle 300 and lateral plateau 304 of the bone models 22A, 22B are in a generally non-deteriorated state, the most distal point Di of the lateral condyle 300 intersecting line DiD2, and the lowest point Ri of the lateral plateau 304 intersecting line RiR2. Because the lateral condyle 300 and lateral plateau 304 of the bone models 22A, 22B are generally in a non-deteriorated state, they will be identified as the reference sides and the source of information used to restore the damaged sides 302, 306 ([block 200] of FIG. 2).
[0171]As can be understood from FIGS. 3F, 4A and 5A, for most if not all of the image slices 16 of the lateral condyle 300, image slice information or data such as ellipses and vectors can be determined. For example, an ellipse 305 and vector Ui can be determined for the N1 slice ([block 205] of FIG. 2). The data or information associated with one or more of the various slices 16 of the lateral condyle 300 is applied to or superimposed on one or more image slices 16 of the medial condyle 302 ([block 215] of FIG. 2). For example, as shown in FIG. 5C1 , which is an N2 image slice of the medial condyle 302 as taken along the N2 line in FIG. 5A, data or information pertaining to the N1 slice is applied to or superimposed on the N2 image slice to determine the extent of restoration needed in deteriorated region 400. For example, the data or information pertaining to the N1 slice may be in the form of the N1 slice's ellipse 305-N1 , vector U-i, ellipse axes P-TPPi', D1DD1, etc. The ellipse 305-N1 will inherently contain its major and minor axis information, and the vector Ui of the N1 slice will correspond to the major axis of the 305-N1 ellipse and motion vector of the femur condyles relative to the tibia plateaus. The major axis of the 305- N1 and the vector Ui of the N1 slice are generally parallel to the joint line plane.
[0172] In a first embodiment, the N1 slice information may be applied only to the contour line of the N2 slice or another specific slice. In other words, information of a specific reference slice may be applied to a contour line of a single specific damaged slice with which the specific reference slice is coordinated with via manual selection or an algorithm for automatic selection. For example, in one embodiment, the N1 slice information may be manually or automatically coordinated to be applied only to the N2 slice contour line, and the N3 slice information may be manually or automatically coordinated to be applied only to the N4 slice contour line. Other reference side slice information may be similarly coordinated with and applied to other damaged side slice contours in a similar fashion. Coordination between a specific reference slice and a specific damaged slice may be according to various criteria, for example, similarity of the function and/or shape of the bone regions pertaining to the specific reference slice and specific damaged slice and/or similarity of accuracy and dependability for the specific reference slice and specific damaged slice.
[0173] In a second embodiment, the N1 slice information or the slice information of another specific slice may be the only image slice used as a reference slice for the contour lines of most, if not all, of the damaged slices. In other words, the N1 image slice information may be the only reference side information used (i.e., to the exclusion of, for example, the N3 image slice information) in the restoration of the contour lines of most, if not each, damaged side image slice (i.e., the N1 image slice information is applied to the contour lines of the N2 and N4 image slices and the N3 image slice information is not used). In such an embodiment, the appropriate single reference image slice may be identified via manual identification or automatic identification via, for example, an algorithm. The identification may be according to certain criteria, such as, for example, which reference image slice is most likely to contain the most accurate and dependable reference information.
[0174] While the second embodiment is discussed with respect to information from a single reference image being applied to the contour lines of most, if not all, damaged side image slices, in other embodiments, the reference information applied to the contour lines of the damaged image slices may be from more than one image slice. For example, information from two or more reference image slices (e.g., N1 image slice and N3 image slice) are applied individually to the contour lines of the various damage image slices. In one embodiment, the information from the two or more reference image slices may be combined (e.g., averaged) and the combined information then applied to the contour lines of individual damaged image slices.
[0175] In some embodiments, the reference side data or information may include a distal tangent line DTL and a posterior tangent line PTL. The distal tangent line DTL may tangentially intersect the extreme distal point of the reference image slice and be parallel to the major axis of the reference image slice ellipse. For example, with respect to the N1 image slice serving as a reference side image slice, the distal tangent line DTL may tangentially intersect the extreme distal point Di of the reference N1 image slice and be parallel to the major axis P1 1PPi' of the reference N1 image slice ellipse 305-N1.
[0176] The posterior tangent line PTL may tangentially intersect the extreme posterior point of the reference image slice and be parallel to the major axis of the reference image slice ellipse. For example, with respect to the N1 image slice serving as a reference side image slice, the posterior tangent line PTL may tangentially intersect the extreme posterior point P-i of the reference N1 image slice and be parallel to the minor axis D1DD1 of the reference N1 image slice ellipse 305- N1.
[0177] As can be understood from FIGS. 3F-3I, most, if not all, femur condlyle image slices N1 , N2, N3, N4 will have an origin O1, O2, O3, O4 associated with the ellipse 305 used to describe or define the condyle surfaces of each slice N1 , N2, N3, N4. When these image slices are combined together to form the 3D computer generated bone models 22, the various origins O1, O2, O3, O4 will generally align to form a femur axis AOF extending medial-lateral through the femur bone model 22A as depicted in FIG. 5A. This axis AOF can be used to properly orient reference side data (e.g., the ellipse 305-N1 and vector Ui of the N1 slice in the current example) when being superimposed onto a damaged side image slice (e.g., the N2 image slice in the current example). The orientation of the data or information of the reference side does not change as the data or information is being superimposed or otherwise applied to the damaged side image slice. For example, the orientation of the ellipse 305-N1 and vector Ui of the N1 slice is maintained or held constant during the superimposing of such reference information onto the N2 slice such that the reference information does not change with respect to orientation or spatial ratios relative to the femur axis AOF when being superimposed on or otherwise applied to the N2 slice. Thus, as described in greater detail below, since the reference side information is indexed to the damaged side image slice via the axis AOF and the orientation of the reference side information does not change in the process of being applied to the damaged side image slice, the reference side information can simply be adjusted with respect to size, if needed and as described below with reference to FIGS. 5C2 and 5C3, to assist in the restoration of the damaged side image slice.
[0178] While the reference side information may be positionally indexed relative to the damaged side image slices via the femur reference axis AOF when being applied to the damaged side image slices, other axes may be used for indexing besides an AO axis that runs through or near the origins of the respective image slice ellipses. For example, a reference axis similar to the femur reference axis AOF and running medial-lateral may pass through other portions of the femur bone model 22A or outside the femur bone model 22A and may be used to positionally index the reference side information to the respective damaged side image slices.
[0179] The contour line N2 of the N2 image slice, as with any contour line of any femur or tibia image slice, may be generated via an open or closed loop computer analysis of the cortical bone of the medial condyle 302 in the N2 image slice, thereby outlining the cortical bone with an open or closed loop contour line N2. Where the contour lines are closed loop, the resulting 3D models 22, 28 will be 3D volumetric models. Where the contour lines are open loop, the resulting 3D models 22, 28 will be 3D surface models. [0180] While in some cases the reference information from a reference image slice may be substantially similar in characteristics (e.g., size and/or ratios) to the damaged image slice contour line to be simply applied to the contour line, in many cases, the reference information may need to be adjusted with respect to size and/or ratio prior to using the reference information to restore the damaged side contour line as discussed herein with respect to FIGS. 5C1 and 5D. For example, as indicated in FIG. 5C2, which is the same view as FIG. 5C1 , except illustrating the reference information is too small relative to the damaged side contour line, the reference information should be increased prior to being used to restore the damaged side contour line, in other words, the N1 information (e.g., the N1 ellipse, vector and tangent lines PTL, DTL), when applied to the contour line of the N2 image slice based on the AO axis discussed above, is too small for at least some of the reference information to match up with at least some of the damaged contour line at the most distal or posterior positions. Accordingly, as can be understood from a comparison of FIGS. 5C1 and 5C2, the N1 information may be increased in size as needed, but maintaining its ratios (e.g., the ratio of the major/minor ellipse axes to each other and the ratios of the offsets of the PTL, DTL from the origin or AO axis), until the N1 information begins to match a boundary of the contour line of the N2 image slice. For example, as depicted in FIG. 5C2, the N1 ellipse is superimposed over the N2 image slice and positionally coordinated with the N2 image slice via the AO axis. The N1 ellipse is smaller than needed to match the contour line of the N2 image slice and is expanded in size until a portion (e.g., the PTL and Pi' of the N1 ellipse) matches a portion (e.g., the most posterior point) of the elliptical contour line of the N2 image slice. A similar process can also be applied to the PTL and DTL, maintaining the ratio of the PTL and DTL relative to the AO axis. As illustrated in FIG. 5C1 , the N1 information now corresponds to at least a portion of the damaged image side contour line and can now be used to restore the contour line as discussed below with respect to FIG. 5D.
[0181] as indicated in FIG. 5C3, which is the same view as FIG. 5C1 , except illustrating the reference information is too large relative to the damaged side contour line, the reference information should be decreased prior to being used to restore the damaged side contour line. In other words, the N1 information (e.g., the N1 ellipse, vector and tangent lines PTL, DTL), when applied to the contour line of the N2 image slice based on the AO axis discussed above, is too large for at least some of the reference information to match up with at least some of the damaged contour line at the most distal or posterior positions. Accordingly, as can be understood from a comparison of FIGS. 5C1 and 5C3, the N1 information may be decreased in size as needed, but maintaining its ratios (e.g., the ratio of the major/minor ellipse axes to each other and the ratios of the offsets of the PTL, DTL from the origin or AO axis), until the N1 information begins to match a boundary of the contour line of the N2 image slice. For example, as depicted in FIG. 5C3, the N1 ellipse is superimposed over the N2 image slice and positionally coordinated with the N2 image slice via the AO axis. The N1 ellipse is larger than needed to match the contour line of the N2 image slice and is reduced in size until a portion (e.g., the PTL and P-i' of the N1 ellipse) matches a portion (e.g., the most posterior point) of the elliptical contour line of the N2 image slice. A similar process can also be applied to the PTL and DTL, maintaining the ratio of the PTL and DTL relative to the AO axis. As illustrated in FIG. 5C1 , the N1 information now corresponds to at least a portion of the damaged image side contour line and can now be used to restore the contour line as discussed below with respect to FIG. 5D.
[0182] As can be understood from FIG. 5D, which is the N2 image slice of FIG. 5C1 subsequent to restoration, the contour line N2 of the N2 image slice has been extended out to the boundaries of the ellipse 305-N1 in the restored region 402 ([block 220] of FIG. 2). This process of applying information (e.g., ellipses 305 and vectors) from the reference side to the damaged side is repeated slice-by-slice for most, if not all, image slices 16 forming the damaged side of the femur bone model 22A. Once most or all of the image slices 16 of the damaged side have been restored, the image slices used to form the femur bone model 22A, including the recently restored images slices, are recompiled via 3D computer modeling programs into a 3D femur restored bone model 28A similar to that depicted in FIG. 3A ([block 225] of FIG. 2).
[0183] As can be understood from FIGS. 5C1 and 5D, in one embodiment, the damaged contour line N2 of the N2 image slice is adjusted based on the ratio of the reference side major axis major axis P-TPPi' to the reference side minor axis D-1DD1. In one embodiment, the damaged contour line N2 of the N2 image slice is adjusted based on reference side ellipse 305-N1. Therefore, the damaged contour lines of the damaged side image slices can be assessed to be enlarged according to the ratios pertaining to the ellipses of the reference side image slices.
[0184] Depending on the relationship of the joint contour lines of the damaged side image slice relative to the ratios obtained from the reference side information or data, the joint contour lines of the damaged side image slice may be manipulated so the joint contour line is increased along its major axis and/or its minor axis. Depending on the patient's knee shape, the major axis and minor axis of the condyle ellipse varies from person to person. If the major axis is close to the minor axis in the undamaged condyle, then the curvature of the undamaged condyle is close to a round shape. In such configured condyles, in the restoration procedure, the contour of the damaged condyle can be assessed and increased in a constant radius in both the major and minor axis. For condyles of other configurations, such as where the undamaged condyle shows an ellipse contour with a significantly longer major axis as compared to its minor axis, the bone restoration may increase the major axis length in order to modify the damaged condyle contour.
[0185] A damaged side tibia plateau can also be restored by applying data or information from the reference side femur condyle to the damaged side tibia plateau. In this continued example, the damaged side tibia plateau will be the medial tibia plateau 306, and the reference side femur condyle will be the lateral femur condyle 300. In one embodiment, the process of restoring the damaged side tibia plateau 306 begins by analyzing the damaged side tibia plateau 306 to determine at least one of a highest anterior point or a highest posterior point of the damaged side tibia plateau 306.
[0186] In one embodiment, as can be understood from FIG. 4C as viewed along the N4 image slice and assuming the damage to the medial tibia plateau 306 is not so extensive that at least one of the highest anterior or posterior points Q4, Q4' still exists, the damaged tibia plateau 306 can be analyzed via tangent lines to identify the surviving high point Q4, Q4'. For example, if the damage to the medial tibia plateau 306 was concentrated in the posterior region such that the posterior highest point Q4' no longer existed, the tangent line TQ4 could be used to identify the anterior highest point Q4. Similarly, if the damage to the medial tibia plateau 306 was concentrated in the anterior region such that the anterior highest point Q4 no longer existed, the tangent line TQ4' could be used to identify the posterior highest point Q4'. In some embodiments, a vector extending between the highest points Q4, Q4' may be generally perpendicular to the tangent lines TQ4, TQ4 .
[0187] In another embodiment, the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to determine at least one of the highest anterior or posterior points Q4, Q4' along the N4 image slice. This process may be performed assuming the damage to the medial tibia plateau 306 is not so extensive that at least one of the highest anterior or posterior points Q4, Q4' still exists. For example, as illustrated by FIG. 5E, which is a sagital view of the medial tibia plateau 306 along the N4 image slice, wherein damage 401 to the plateau 306 is mainly in the posterior region, the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the anterior highest point Q4 of the tibia plateau 306. Similarly, in another example, as illustrated by FIG. 5F, which is a sagital view of the medial tibia plateau 306 along the N4 image slice, wherein damage 401 to the plateau 306 is mainly in the anterior region, the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the posterior highest point Q4' of the tibia plateau 306.
[0188] In one embodiment in a manner similar to that discussed above with respect to FIGS. 5C2 and 5C3, the reference information (e.g., N1 information such as the N1 ellipse) may be applied to the damaged contour line via the AO axis and adjusted in size (e.g., made smaller or larger) until the N1 ellipse matches a portion of the damaged contour line in order to find the highest point, which may be, for example, Q4 or Q4'. As explained above with respect to FIGS. 5C2 and 5C3, the adjustments in size for reference information may be made while maintaining the ratio of the N1 information.
[0189] Once the highest point is determined through any of the above-described methods discussed with respect to FIGS. 4C, 5E and 5F, the reference side femur condyle vector can be applied to the damaged side tibia plateau to determine the extent to which the tibia plateau contour line 322 needs to be restored ([block 215] of FIG. 2). For example, as illustrated by FIGS. 5G and 5H, which are respectively the same views as FIG. 5E and 5F, the vector from the reference side lateral femur condyle 300 (e.g., the vector Ui from the N1 image slice) is applied to the damaged side medial tibia plateau 306 such that the vector Ui intersects the existing highest point. Thus, as shown in FIG. 5G, where the existing highest point is the anterior point Q4, the vector Ui will extend through the anterior point Q4 and will spaced apart from damage 401 in the posterior region of the tibia plateau contour line 322 by the distance the posterior region of the tibia plateau contour line 322 needs to be restored. Similarly, as shown in FIG. 5H, where the existing highest point is the posterior point Q4', the vector Ui will extend through the posterior point Q4' and will spaced apart from the damage 401 of the anterior region of the tibia plateau contour line 322 by the distance the anterior region of the tibia plateau contour line 322 needs to be restored.
[019O]As shown in FIGS. 51 and 5J, which are respectively the same views as FIGS. 5G and 5H, the damaged region 401 of the of the tibia plateau contour line 322 is extended up to intersect the reference vector U-i, thereby restoring the missing posterior high point Q4' in the case of FIG. 51 and the anterior high point Q4 in the case of and FIG. 5J, the restoring resulting in restored regions 403. As can be understood from FIGS. 5E, 5F, 51 and 5J, in one embodiment, the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to locate the proper offset distance L4 between the existing high point (i.e., Q4 in FIG. 51 and Q4' in FIG. 5J) and the newly restored high point (i.e., Q4' in FIG. 51 and Q4 in FIG. 5J) of the restored region 403. Also, in one embodiment, the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to achieve the proper curvature for the tibia plateau contour line 322. The curvature of the tibia plateau contour line 322 may such that the contour line 322 near the midpoint between the anterior and posterior high points Q4, Q4' is offset from the reference vector Ui by a distance h4. In some embodiments, the ratio of the distances h4 /L4 after the restoration is less than approximately 0.01. As discussed above, the reference ellipse may be applied to the damaged contour line and adjusted in size, but maintaining the ratio, until the ellipse matches a portion of the damaged contour line.
[0191]As discussed above with respect to the femur condyle image slices being positionally referenced to each other via a femur reference axis AOF, and as can be understood from FIG. 5B, each tibia image slice N1 , N2, N3, N4 will be generated relative to a tibia reference axis AOT, which may be the same as or different from the femur reference axis AOF. The tibia reference axis AOT will extend medial-lateral and may pass through a center point of each area defined by the contour line of each tibia image slice N1 , N2, N3, N4. The tibia reference axis AOT may extend through other regions of the tibia image slices N1 , N2, N3, N4 or may extend outside of the tibia image slices, even, for example, through the origins Oi, O2, O3, O4 of the respective femur images slices N1 , N2, N3, N4 (in such a case the tibia reference axis AOF and femur reference axis AOF may be the same or share the same location).
[0192]The axis AOT can be used to properly orient reference side data (e.g., the ellipse 305-N1 and vector Ui of the N1 slice in the current example) when being superimposed onto a damaged side image slice (e.g., the N4 image slice in the current example). The orientation of the data or information of the reference side does not change as the data or information is being superimposed or otherwise applied to the damaged side image slice. For example, the orientation of the ellipse 305-N1 and vector Ui of the N1 slice is maintained or held constant during the superimposing of such reference information onto the N4 slice such that the reference information does not change when being superimposed on or otherwise applied to the N4 slice. Thus, since the reference side information is indexed to the damaged side image slice via the axis AOT and the orientation of the reference side information does not change in the process of being applied to the damaged side image slice, the reference side information can simply be adjusted with respect to size to assist in the restoration of the damaged side image slice.
[0193] The contour line N4 of the N4 image slice, as with any contour line of any femur or tibia image slice, may be generated via an open or closed loop computer analysis of the cortical bone of the medial tibia plateau 306 in the N4 image slice, thereby outlining the cortical bone with an open or closed loop contour line N4. Where the contour lines are closed loop, the resulting 3D models 22, 28 will be 3D volumetric models. Where the contour lines are open loop, the resulting 3D models 22, 28 will be 3D surface models.
[0194] The preceding example discussed with respect to FIGS. 5A-5J is given in the context of the lateral femur condyle 300 serving as the reference side and the medial femur condyle 302 and medial tibia condyle 306 being the damaged sides. Specifically, reference data or information (e.g., ellipses, vectors, etc.) from lateral femur condyle 300 is applied to the medial femur condyle 302 and medial tibia plateau 306 for the restoration thereof. The restoration process for the contour lines of the damaged side femur condyle 302 and damaged side tibia plateau 306 take place slice-by-slice for the image slices 16 forming the damaged side of the bone models 22A, 22B ([block 220] of FIG. 2). The restored image slices 16 are then utilized when a 3D computer modeling program recompiles the image slices 16 to generate the restored bone models 28A, 28B ([block 225] of FIG. 2).
[0195]While a specific example is not given to illustrate the reversed situation, wherein the medial femur condyle 302 serves as the reference side and the lateral femur condyle 300 and lateral tibia condyle 304 are the damaged sides, the methodology is the same as discussed with respect to FIGS. 5A-5J and need not be discussed in such great detail. It is sufficient to know that reference data or information (e.g., ellipses, vectors, etc.) from the medial femur condyle 302 is applied to the lateral femur condyle 300 and lateral tibia plateau 304 for the restoration thereof, and the process is the same as discussed with respect to FIGS. 5A-5J.
[0196] 2. Employing Vectors From a Tibia Plateau of a Reference Side of a
Knee Joint to Restore the Tibia Plateau of the Damaged Side
[0197] A damaged side tibia plateau can also be restored by applying data or information from the reference side tibia plateau to the damaged side tibia plateau. In this example, the damaged side tibia plateau will be the medial tibia plateau 306, and the reference side tibia plateau will be the lateral tibia plateau 304.
[0198] In one embodiment, the process of restoring the damaged side tibia plateau 306 begins by analyzing the reference side tibia plateau 304 to determine the highest anterior point and a highest posterior point of the reference side tibia plateau 304. Theses highest points can then be used to determine the reference vector.
[0199] In one embodiment, as can be understood from FIG. 4C as viewed along the N3 image slice, the reference side tibia plateau 304 can be analyzed via tangent lines to identify the highest points Q3, Q3'. For example, tangent line TQ3 can be used to identify the anterior highest point Q3, and tangent line TQ3' can be used to identify the posterior highest point Q3'. In some embodiments, a vector extending between the highest points Q3, Q3' may be generally perpendicular to the tangent lines T03, TQ3'.
[020O] In another embodiment, the reference side femur condyle ellipse 305-N1 can be applied to the reference side lateral tibia plateau 304 to determine the highest anterior or posterior points Q3, Q3' along the N3 image slice. For example, as can be understood from FIG. 4A, the reference side femur condyle ellipse 305-N1 (or ellipse 305-N3 if analyzed in the N3 image slice) can be applied to the reference side lateral tibia plateau 304 to identify the anterior highest point Q1 of the tibia plateau 304, and the reference side femur condyle ellipse 305-N1 (or ellipse 305-N3 if analyzed in the N3 image slice) can be applied to the reference side lateral tibia plateau 304 to identify the posterior highest point QV of the tibia plateau 306. Where the ellipse 305-N3 of the N3 image slice is utilized, the highest tibia plateau points may be Q3, Q3'.
[0201]As can be understood from FIG. 4A, once the highest points are determined, a reference vector can be determined by extending a vector through the points. For example, vector Vi can be found by extending the vector through highest tibia plateau points Q1 , QV in the N1 slice.
[0202] In one embodiment, the process of restoring the damaged side tibia plateau 306 continues by analyzing the damaged side tibia plateau 306 to determine at least one of a highest anterior point or a highest posterior point of the damaged side tibia plateau 306.
[0203] In one embodiment, as can be understood from FIG. 4C as viewed along the N4 image slice and assuming the damage to the medial tibia plateau 306 is not so extensive that at least one of the highest anterior or posterior points Q4, Q4' still exists, the damaged tibia plateau 306 can be analyzed via tangent lines to identify the surviving high point Q4, Q4'. For example, if the damage to the medial tibia plateau 306 was concentrated in the posterior region such that the posterior highest point Q4' no longer existed, the tangent line TQ4 could be used to identify the anterior highest point Q4. Similarly, if the damage to the medial tibia plateau 306 was concentrated in the anterior region such that the anterior highest point Q4 no longer existed, the tangent line TQ4> could be used to identify the posterior highest point Q4'. [0204] In another embodiment, the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to determine at least one of the highest anterior or posterior points Q4, Q4' along the N4 image slice. This process may be performed assuming the damage to the medial tibia plateau 306 is not so extensive that at least one of the highest anterior or posterior points Q4, Q4' still exists. For example, as illustrated by FIG. 5E, which is a sagital view of the medial tibia plateau 306 along the N4 image slice, wherein damage 401 to the plateau 306 is mainly in the posterior region, the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the anterior highest point Q4 of the tibia plateau 306. Similarly, in another example, as illustrated by FIG. 5F, which is a sagital view of the medial tibia plateau 306 along the N4 image slice, wherein damage 401 to the plateau 306 is mainly in the anterior region, the reference side femur condyle ellipse 305-N1 can be applied to the damaged medial tibia plateau 306 to identify the posterior highest point Q4' of the tibia plateau 306.
[0205] In one embodiment in a manner similar to that discussed above with respect to FIGS. 5C2 and 5C3, the reference information (e.g., N1 information such as the N1 ellipse) may be applied to the damaged contour line via the AO axis and adjusted in size (e.g., made smaller or larger) until the N1 ellipse matches a portion of the damaged contour line in order to find the highest point, which may be, for example, Q4 or Q4'. As explained above with respect to FIGS. 5C2 and 5C3, the adjustments in size for reference information may be made while maintaining the ratio of the N1 information.
[0206] Once the highest point is determined through any of the above-described methods discussed with respect to FIGS. 4C, 5E and 5F, the reference side tibia plateau vector can be applied to the damaged side tibia plateau to determine the extent to which the tibia plateau contour line 322 needs to be restored ([block 215] of FIG. 2). For example, as can be understood from FIGS. 5K and 5L, which are respectively the same views as FIGS. 5G and 5H, the vector from the reference side lateral tibia plateau 304 (e.g., the vector \Λ from the N1 image slice) is applied to the damaged side medial tibia plateau 306 such that the vector Vi intersects the existing highest point. Thus, as shown in FIG. 5K, where the existing highest point is the anterior point Q4, the vector Vi will extend through the anterior point Q4 and will spaced apart from damage 401 in the posterior region of the tibia plateau contour line 322 by the distance the posterior region of the tibia plateau contour line 322 needs to be restored. Similarly, as shown in FIG. 5L, where the existing highest point is the posterior point Q4', the vector \Λ will extend through the posterior point Q4' and will spaced apart from the damage 401 of the anterior region of the tibia plateau contour line 322 by the distance the anterior region of the tibia plateau contour line 322 needs to be restored.
[0207]As shown in FIGS. 5M and 5N, which are respectively the same views as FIGS. 51 and 5J, the damaged region 401 of the of the tibia plateau contour line 322 is extended up to intersect the reference vector V-i, thereby restoring the missing posterior high point Q4' in the case of FIG. 5M and the anterior high point Q4 in the case of and FIG. 5N, the restoring resulting in restored regions 403. As can be understood from FIGS. 5E, 5F, 5M and 5N, in one embodiment, the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to locate the proper offset distance L4 between the existing high point (i.e., Q4 in FIG. 5M and Q4' in FIG. 5N) and the newly restored high point (i.e., Q4' in FIG. 5M and Q4 in FIG. 5N) of the restored region 403. Also, in one embodiment, the reference side femur condyle ellipse 305-N1 may be applied to the damaged side tibia plateau 306 to serve as a guide to achieve the proper curvature for the tibia plateau contour line 322. The curvature of the tibia plateau contour line 322 may such that the contour line 322 near the midpoint between the anterior and posterior high points Q4, Q4' is offset from the reference vector Ui by a distance h4. In some embodiments, the ratio of the distances h4 /L4 after the restoration is less than approximately 0.01. As discussed above, the reference ellipse may be applied to the damaged contour line and adjusted in size, but maintaining the ratio, until the ellipse matches a portion of the damaged contour line.
[0208]As discussed above with respect to the femur condyle image slices being positionally referenced to each other via a femur reference axis AOF, and as can be understood from FIG. 5B, each tibia image slice N1 , N2, N3, N4 will be generated relative to a tibia reference axis AOT, which may be the same as or different from the femur reference axis AOF. The tibia reference axis AOT will extend medial-lateral and may pass through a center point of each area defined by the contour line of each tibia image slice N1 , N2, N3, N4. The tibia reference axis AOT may extend through other regions of the tibia image slices N1 , N2, N3, N4 or may extend outside of the tibia image slices, even, for example, through the origins O-i, O2, O3, O4 of the respective femur images slices N1 , N2, N3, N4 (in such a case the tibia reference axis AOF and femur reference axis AOF may be the same or share the same location).
[0209] The axis AOT can be used to properly orient reference side data (e.g., the ellipse 305-N1 and vector Vi of the N1 slice in the current example) when being superimposed onto a damaged side image slice (e.g., the N4 image slice in the current example). The orientation of the data or information of the reference side does not change as the data or information is being superimposed or otherwise applied to the damaged side image slice. For example, the orientation of the ellipse 305-N1 and vector Vi of the N1 slice is maintained or held constant during the superimposing of such reference information onto the N4 slice such that the reference information does not change when being superimposed on or otherwise applied to the N4 slice. Thus, since the reference side information is indexed to the damaged side image slice via the axis AOT and the orientation of the reference side information does not change in the process of being applied to the damaged side image slice, the reference side information can simply be adjusted with respect to size to assist in the restoration of the damaged side image slice.
[0210] The contour line N4 of the N4 image slice, as with any contour line of any femur or tibia image slice, may be generated via an open or closed loop computer analysis of the cortical bone of the medial tibia plateau 306 in the N4 image slice, thereby outlining the cortical bone with an open or closed loop contour line N4. Where the contour lines are closed loop, the resulting 3D models 22, 28 will be 3D volumetric models. Where the contour lines are open loop, the resulting 3D models 22, 28 will be 3D surface models.
[0211] In the current example discussed with respect to FIGS. 5K-5N, the information from the reference side tibia plateau 304 is employed to restore the damaged side tibia plateau 306. However, the information from the reference side femur condyle 300 is still used to restore the damaged side femur condyle 302 as discussed above in the preceding example with respect to FIGS. 5A-5D.
[0212]The preceding example discussed with respect to FIGS. 5K-5N is given in the context of the lateral tibia plateau 304 and lateral femur condyle 300 serving as the reference sides and the medial femur condyle 302 and medial tibia condyle 306 being the damaged sides. Specifically, reference data or information (e.g., vectors from the lateral tibia plateau 304 and ellipses, vectors, etc. from the lateral femur condyle 300) are applied to the medial femur condyle 302 and medial tibia plateau 306 for the restoration thereof. The restoration process for the contour lines of the damaged side femur condyle 302 and damaged side tibia plateau 306 take place slice-by-slice for the image slices 16 forming the damaged side of the bone models 22A, 22B ([block 220] of FIG. 2). The restored image slices 16 are then utilized when a 3D computer modeling program recompiles the image slices 16 to generate the restored bone models 28A, 28B ([block 225] of FIG. 2).
[0213] While a specific example is not given to illustrate the reversed situation, wherein the medial tibia plateau 306 and medial femur condyle 302 serve as the reference sides and the lateral femur condyle 300 and lateral tibia condyle 304 are the damaged sides, the methodology is the same as discussed with respect to FIGS. 5A-5D and 5K-5N and need not be discussed in such great detail. It is sufficient to know that reference data or information (e.g., ellipses, vectors, etc.) from the medial tibia plateau 306 and medial femur condyle 302 are applied to the lateral femur condyle 300 and lateral tibia plateau 304 for the restoration thereof, and the process is the same as discussed with respect to FIGS. 5A-5D and 5K-5N.
[0214] e. Verifying Accuracy of Restored Bone Model
[0215] Once the bone models 22A, 22B are restored into restored bone models 28A, 28B as discussed in the preceding sections, the accuracy of the bone restoration process is checked ([block 230] of FIG. 2). Before discussion example methodology of conducting such accuracy checks, the following discussion regarding the kinetics surround a knee joint is provided.
[0216]The morphological shape of the distal femur and its relation to the proximal tibia and the patella suggests the kinetics of the knee (e.g., see Eckhoff et al., "Three-Dimensional Mechanics, Kinetics, and Morphology of the Knee in Virtual Reality", JBJS (2005); 87:71-80). The movements that occur at the knee joint are flexion and extension, with some slight amount of rotation in the bent position. During the movement, the points of contact of the femur with the tibia are constantly changing. Thus, in the flexed position (90° knee extension), the hinder part of the articular surface of the tibia is in contact with the rounded back part of the femoral condyles. In the semiflexed position, the middle parts of the tibia facets articulate with the anterior rounded part of the femoral condyles. In the fully extended position (0° knee extension), the anterior and the middle parts of the tibia facets are in contact with the anterior flattened portion of the femoral condyles.
[0217] With respect to the patella, in extreme flexion, the inner articular facet rests on the outer part of the internal condyle of the femur. In flexion, the upper part of facets rest on the lower part of the trochlear surface of the femur. In mid-flexion, the middle pair rest on the middle of the trochlear surface. However, in extension, the lower pair of facets on the patella rest on the upper portion of the trochlear surface of the femur. The difference may be described as the shifting of the points of contact of the articulate surface.
[0218] The traditional knee replacement studies focus mainly around the tibial- femoral joint. The methods disclosed herein employ the patella in a tri- compartmental joint study by locating the patella groove of the knee. The posterior surface of patella presents a smooth oval articular area divided into two facets by a vertical ridge, the facets forming the medial and lateral parts of the same surface.
[0219] The vertical ridge of the posterior patella corresponds to the femoral trochlear groove. In the knee flexion/extension motion movement, the patella normally moves up and down in the femoral trochlear grove along the vertical ridge and generates quadriceps forces on the tibia. The patellofemoral joint and the movement of the femoral condyles play a major role in the primary structure/mechanics across the joint. When the knee is moving and not fully extended, the femoral condyle surfaces bear very high load or forces. In a normal knee, the patella vertical ridge is properly aligned along the femoral trochlear groove so this alignment provides easy force generation in the sliding movement. If the patella is not properly aligned along the trochlear groove or tilted in certain angles, then it is hard to initiate the sliding movement so it causes difficulty with respect to walking. Further, the misaligned axis along the trochlear groove can cause dislocation of the patella on the trochlear groove, and uneven load damage on the patella as well.
[0220] The methods disclosed herein for the verification of the accuracy of the bone restoration process employ a "trochlear groove axis" or the "trochlear groove reference plane" as discussed below. This axis or reference plane extend across the lowest extremity of trochlear groove in both the fully-extended and 90° extension of the knee. Moreover, in relation to the joint line, the trochlear groove axis is perpendicular or generally perpendicular to the joint line of the knee.
[0221] Because the vertical ridge of the posterior patella is generally straight (vertical) in the sliding motion, the corresponding trochlear groove axis should be straight as well. The trochlear groove axis is applied into the theory that the joint line of the knee is parallel to the ground. In a properly aligned knee or normal knee, the trochlear groove axis is presumed to be perpendicular or nearly perpendicular to the joint line.
[0222] For the OA, rarely is there bone damage in the trochlear groove, typically only cartilage damage. Thus, the femoral trochlear groove can serve as a reliable bone axis reference for the verification of the accuracy of the bone restoration when restoring a bone model 22 into a restored bone model 28.
[0223] For a detailed discussion of the methods for verifying the accuracy of the bone restoration process, reference is made to FIGS. 6A-6D. FIG. 6A is a sagital view of a femur restored bone model 28A illustrating the orders and orientations of imaging slices 16 (e.g., MRI slices, CT slices, etc.) forming the femur restored bone model 28A. FIG. 6B is the distal images slices 1-5 taken along section lines 1-5 of the femur restored bone model 28A in FIG. 6A. FIG. 6C is the coronal images slices 6-8 taken along section lines 6-8 of the femur restored bone model 28A in FIG. 6A. FIG. 6D is a perspective view of the distal end of the femur restored bone model 28A.
[0224] As shown in FIG. 6A, a multitude of image slices are compiled into the femur restored bone model 28A from the image slices originally forming the femur bone model 22A and those restored image slices modified via the above-described methods. Image slices may extend medial-lateral in planes that would be normal to the longitudinal axis of the femur, such as image slices 1-5. Image slices may extend medial-lateral in planes that would be parallel to the longitudinal axis of the femur, such as image slices 6-8. The number of image slices may vary from 1-50 and may be spaced apart in a 2mm spacing. [0225]As shown in FIG. 6B, each of the slices 1-5 can be aligned vertically along the trochlear groove, wherein points G1 , G2, G3, G4, G5 respectively represent the lowest extremity of trochlear groove for each slice 1-5. By connecting the various points G1 , G2, G3, G4, G5, a point O can be obtained. As can be understood from FIGS. 3B and 6D, resulting line GO is perpendicular or nearly perpendicular to tangent line P1P2. In a 90° knee extension in FIG. 3B, line GO is perpendicular or nearly perpendicular to the joint line of the knee and line P1P2.
[0226] As shown in FIG. 6C, each of the slices 6-8 can be aligned vertically along the trochlear groove, wherein points H6, H7, H8 respectively represent the lowest extremity of the trochlear groove for each slice 6-8. By connecting the various points H6, H7, H8, the point O can again be obtained. As can be understood from FIGS. 3A and 6D, resulting line HO is perpendicular or nearly perpendicular to tangent line DiD2. In a 0° knee extension in FIG. 3A, line HO is perpendicular or nearly perpendicular to the joint line of the knee and line DiD2.
[0227] As illustrated in FIG. 6D, the verification of the accuracy of the restoration process includes determining if the reference lines GO and HO are within certain tolerances with respect to being parallel to certain lines and perpendicular to certain lines. The line GO, as the reference across the most distal extremity of the trochlear groove of the femur and in a 90° knee extension, should be perpendicular to tangent line DiD2. The line HO, as the reference across the most posterior extremity of trochlear groove of the femur and in a 0° knee extension, should be perpendicular to tangent line PiP2.
[0228] Line HO and line PiP2 may form a plane S, and lines GO and line DiD2 may form a plane P that is perpendicular to plane S and forms line SR therewith. Line HO and line GO are parallel or nearly parallel to each other. Lines PiP2, DiD2 and SR are parallel or nearly parallel to each other. Lines PiP2, DiD2 and SR are perpendicular or nearly perpendicular to lines HO and GO.
[0229]As can be understood from FIG. 6D, in one embodiment, lines HO and GO must be within approximately three degrees of being perpendicular with lines PiP2,and DiD2 or the restored bones models 28A, 28B will be rejected and the restoration process will have to be repeated until the resulting restored bone models 28A, 28B meet the stated tolerances, or there has been multiple failed attempts to meet the tolerances ([block 230] - [block 240] of FIG. 2). Alternatively, as can be understood from FIG. 6D, in another embodiment, lines HO and GO must be within approximately six degrees of being perpendicular with lines P-ιP2,and DiD2 or the restored bones models 28A, 28B will be rejected and the restoration process will have to be repeated until the resulting restored bone models 28A, 28B meet the stated tolerances, or there has been multiple failed attempts to meet the tolerances ([block 230] - [block 240] of FIG. 2). If multiple attempts to provide restored bone models 28A, 28B satisfying the tolerances have been made without success, then bone restoration reference data may be obtained from another similar joint that is sufficiently free of deterioration. For example, in the context of knees, if repeated attempts have been made without success to restore a right knee medial femur condyle and tibia plateau from reference information obtained from the right knee lateral sides, then reference data could be obtained from the left knee lateral or medial sides for use in the restoration process in a manner similar to described above.
[023O] In some embodiments, as depicted in the table illustrated in FIG. 7, some OA knee conditions are more likely to be restored via the methods disclosed herein than other conditions when it comes to obtaining the reference data from the same knee as being restored via the reference data. For example, the damaged side of the knee may be light (e.g., no bone damage or bone damage less than 1 mm), medium (e.g., bone damage of approximately 1 mm) or severe (e.g., bone damage of greater than 1 mm). As can be understood from FIG. 7, the bone restoration provided via some of the above-described embodiments may apply to most OA patients having light-damaged knees and medium-damaged knees and some OA patients having severe-damaged knees, wherein restoration data is obtained from a reference side of the knee having the damaged side to be restored. However, for most OA patients having severe-damaged and some OA patients having medium-damaged knees, in some embodiments as described below, bone restoration analysis entails obtaining restoration data from a good first knee of the patient for application to, and restoration of, a bad second knee of the patient.
[0231] It should be understood that the indications represented in the table of FIG. 7 are generalities for some embodiments disclosed herein with respect to some patients and should not be considered as absolute indications of success or failure with respect to whether or not any one or more of the embodiments disclosed herein may be successfully applied to an individual patient having any one of the conditions (light, medium, severe) reflected in the table of FIG. 7. Therefore, the table of FIG. 7 should not be considered to limit any of the embodiments disclose herein.
[0232] f. Further Discussion of Bone Model Restoration Methods
[0233] For further discussion regarding embodiments of bone model restoration methods, reference is made to FIGS. 8A-8D. FIG. 8A shows the construction of reference line SQ in a medial portion of the tibia plateau. In one embodiment, the reference line SQ may be determined by superimposing an undamaged femoral condyle ellipse onto the medial tibia plateau to obtain two tangent points Q and S. In another embodiment, the tangent points Q and S may be located from the image slices by identifying the highest points at the posterior and anterior edges of the medial tibia plateau. By identifying tangent points Q and S, the tangent lines QP and SR may be determined by extending lines across each of the tangent points Q and S, wherein the tangent lines QP and SR are respectively tangent to the anterior and posterior curves of the medial tibia plateau. Reference line SQ may be obtained where tangent line QP is perpendicular or generally perpendicular to reference line SQ and tangent line SR is perpendicular or generally perpendicular to reference line SQ.
[0234] FIG. 8B shows the restoration of a damaged anterior portion of the lateral tibia plateau. The reference vector line or the vector plane is obtained from FIG. 8A, as line SQ or plane SQ. The reference vector plane SQ from the medial side may be applied as the reference plane in the damaged lateral side of the tibia plateau surface. In FIG. 8B, the contour of the damaged anterior portion of the lateral tibia plateau may be adjusted to touch the proximity of the reference vector plane SQ from the undamaged medial side. That is, points S' and Q' are adjusted to reach the proximity of the plane SQ. The outline between points S' and Q' are adjusted and raised to the reference plane SQ. By doing this adjustment, a restored tangent point Q' may be obtained via this vector plane SQ reference.
[0235]As shown in FIG. 8D, the reference vector plane SQ in the medial side is parallel or nearly parallel to the restored vector plane S1Q' in the lateral side. In FIG. 8B, the length L" represents the length of line S1Q'. The length I" is the offset from the recessed surface region of the tibia plateau to the plane S1Q' after the restoration. In the bone restoration assessment, the ratio of I" I L" may be controlled to be less than 0.01.
[0236] FIG. 8C is the coronal view of the restored tibia after 3D reconstruction, with a 0° knee extension model. The points U and V represent the lowest extremity of tangent contact points on each of the lateral and medial tibia plateau, respectively. In one embodiment, tangent points U and V are located within the region between the tibia spine and the medial and lateral epicondyle edges of the tibia plateau, where the slopes of tangent lines in this region are steady and constant. In one embodiment, the tangent point U in the lateral plateau is in area I between the lateral side of lateral intercondylar tubercule to the attachment of the lateral collateral ligament. For the medial portion, the tangent point V is in area Il between the medial side of medial intercondylar tubercule to the medial condyle of tibia, as shown in FIG. 8C.
[0237]As previously stated, FIG. 8C represents the restored tibia models and, therefore, the reference lines N1 and N2 can apply to the restored tibia model in FIG. 8C, when the knee is at 0° extension. As can be understood from FIG. 8C, line N1 when extended across point U is perpendicular or generally perpendicular to line-UV, while line N2 when extended across point V is perpendicular or generally perpendicular to line UV. In restored the tibia model, line UV may be parallel or nearly parallel to the joint line of the knee. Within all these reference lines, in one embodiment, the tolerable range of the acute angle between nearly perpendicular or nearly parallel lines or planes may be within an absolute 6-degree angle, I x "x \ κ 6 . If the acute angle difference from FIG. 8C is less than 6°, the numerical data for the femur and/or tibia restoration is acceptable. This data may be transferred to the further assess the varus/valgus alignment of the knee models.
[0238] FIG. 9A is a coronal view of the restored knee models of proximal femur and distal tibia with 0° extension of the knee. Line ab extends across the lowest extremity of trochlear groove of the distal femur model. Reference lines N1 and N2 are applied to the restored knee model of varus/valgus alignment, where Iine-N1 is parallel or generally parallel to line N2 and line ab. Depending on the embodiment, the acute angles between these lines may be controlled within a 3 degree range or a 5 degree range. The tangent points D and E represent the lowest extremities of the restored proximal femur model. The tangent points U and V are obtained from the restored distal tibia plateau surface. In the medial portion, t1 ' represents the offset of the tangent lines between the medial condyle and medial tibia plateau. In the lateral portion, t2' represents the offset of the tangent lines between the lateral condyle and lateral tibia plateau. In the varus/valgus rotation and alignment, t1' is substantially
equal to t2', on |<<; 1iτim Therefore, line DE may be generally parallel to the joint line of the knee and generally parallel to line UV.
[0239] FIG. 9B is a sagital view of the restored knee models. Line 348 represents the attachment location of lateral collateral ligament which lies on the lateral side of the joint. Line 342 represents the posterior extremity portion of the lateral femoral condyle. Line 344 represents the distal extremity portion of the lateral condyle. In this restored knee model, line 344 may be parallel or generally parallel to line L. That is, plane 344 is parallel or generally parallel to plane L and parallel or generally parallel to the joint plane of the knee. In one embodiment, the tolerable range of acute angle between these planes may be controlled within an absolute 6 degrees. If the angle is less than an absolute 6 degrees, the information of the femur and tibia model will then be forwarded to the preoperative design for the implant modeling. If the acute angle is equal or larger than an absolute 6 degrees, the images and 3D models will be rejected. In this situation, the procedure will be returned to start all over from the assessment procedure of reference lines/planes.
[0240] g. Using Reference Information From a Good Joint to Create a Restored Bone Model For a Damaged Joint
[0241]As mentioned above with respect to the table of FIG. 7, the knee that is the target of the arthroplasty procedure may be sufficiently damaged on both the medial and lateral sides such that neither side may adequately serve as a reference side for the restoration of the other side. In a first embodiment and in a manner similar to that discussed above with respect to FIGS. 2-6D, reference data for the restoration of the deteriorated side of the target knee may be obtained from the patient's other knee, which is often a healthy knee or at least has a healthy side from which to obtain reference information. In a second embodiment, the image slices of the healthy knee are reversed in a mirrored orientation and compiled into a restored bone model representative of the deteriorated knee prior to deterioration, assuming the patient's two knees where generally mirror images of each other when they were both healthy. These two embodiments, which are discussed below in greater detail, may be employed when the knee targeted for arthroplasty is sufficiently damaged to preclude restoration in a manner similar to that described above with respect to FIGS. 2-6D. However, it should be noted that the two embodiments discussed below may also be used in place of, or in addition to, the methods discussed above with respect to FIGS. 2-6D, even if the knee targeted for arthroplasty has a side that is sufficiently healthy to allow the methods discussed above with respect to FIGS. 2- 6D to be employed.
[0242] For a discussion of the two embodiments for creating a restored bone model for a deteriorated knee targeted for arthroplasty from image slices obtained from a healthy knee, reference is made to FIGS. 10A and 10B. FIG. 10A is a diagram illustrating the condition of a patient's right knee, which is in a deteriorated state, and left knee, which is generally healthy. FIG. 10B is a diagram illustrating the two embodiments. While in FIGS. 10A and 10B and the following discussion the right knee 702 of the patient 700 is designated as the deteriorate knee 702 and the right knee 704 of the patient 700 is designated as the healthy knee 704, of course such designations are for example purposes only and the conditions of the knees could be the reverse.
[0243] As indicated in FIG. 10A, the patient 700 has a deteriorated right knee 702 formed of a femur 703 and a tibia 704 and which has one or both of sides in a deteriorated condition. In this example, the lateral side 705 of the right knee 702 is generally healthy and the medial side 706 of the right knee 702 is deteriorated such that the right medial condyle 708 and right medial tibia plateau 710 will need to be restored in any resulting restored bone model 28. As can be understood from FIG. 10A, the patient also has a left knee 704 that is also formed of a femur 711 and a tibia 712 and which has a medial side 713 and a lateral side 714. In FIG. 10A, both sides 713, 714 of the left knee 704 are generally healthy, although, for one of the following embodiments, a single healthy side is sufficient to generate a restored bone model 28 for the right knee 702. [0244]As indicated in FIG. 10B, image slices 16 of the deteriorated right knee 702 and healthy left knee 704 are generated as discussed above with respect to FIGS. 1A and 1 B. In the first embodiment, which is similar to the process discussed above with respect to FIGS. 2-6D, except the process takes place with a deteriorated knee and a health knee as opposed to the deteriorated and healthy sides of the same knee, reference information (e.g., vectors, lines, planes, ellipses, etc. as discussed with respect to FIGS. 2-6D) 720 is obtained from a healthy side of the healthy left knee 704 [block 1000 of FIG. 10B]. The reference information 720 obtained from the image slices 16 of the health left knee 704 is applied to the deteriorated sides of the right knee 702 [block 1005 of FIG. 10B]. Specifically, the applied reference information 720 is used to modify the contour lines of the images slices 16 of the deteriorated sides of the right knee 702, after which the modified contour lines are compiled, resulting in a restored bone model 28 that may be employed as described with respect to FIG. 1C. The reference information 720 obtained from the healthy left knee image slices 16 may be coordinated with respect to position and orientation with the contour lines of the deteriorated right knee image slices 16 by identifying a similar location or feature on each knee joint that is generally identical between the knees and free of bone deterioration, such as a point or axis of the femur trochlear groove or tibia plateau spine.
[0245] In the second embodiment, image slices 16 are generated of both the deteriorate right knee 702 and healthy left knee 704 as discussed above with respect to FIG. 1 B. The image slices 16 of the deteriorated right knee 702 may be used to generate the arthritic model 36 as discussed above with respect to FIG. 1 D. The image slices 16 of the healthy left knee 704 are mirrored medially/laterally to reverse the order of the image slices 16 [block 2000 of FIG. 10B]. The mirrored/reversed order image slices 16 of the healthy left knee 704 are compiled, resulting in a restored bone model 28 for the right knee 702 that is formed from the image slices 16 of the left knee 704 [block 2000 of FIG. 10B]. In other words, as can be understood from [block 2000] and its associated pictures in FIG. 10B, by medially/laterally mirroring the image slices 16 of left knee 704 to medially/laterally reverse their order and then compiling them in such a reversed order, the image slices 16 of the left knee 704 may be formed into a bone model that would appear to be a bone model of the right knee 702 in a restored condition, assuming the right and left knees 702, 704 were generally symmetrically identical mirror images of each other when both were in a non-deteriorated state.
[0246]To allow for the merger of information (e.g., saw cut and drill hole data 44 and jig data 46) determined respectively from the restored bone model 28 and the arthritic model 28 as discussed above with respect to FIG. 1E, the restored bone model 28 generated from the mirrored image slices 16 of the healthy left knee 704 may be coordinated with respect to position and orientation with the arthritic model 36 generated from the image slices 16 of the deteriorated right knee 702. In one embodiment, this coordination between the models 28, 36 may be achieved by identifying a similar location or feature on each knee joint that is generally identical between the knees and free of bone deterioration, such as a point or axis of the femur trochlear groove or tibia plateau spine. Such a point may serve as the coordination or reference point P' (X0-k, Yo-k, Z0-k) as discussed with respect to FIG. 1 E.
[0247]While the two immediately preceding embodiments are discussed in the context of knee joints, these embodiments, like the rest of the embodiments disclosed throughout this Detailed Description, are readily applicable to other types of joints including ankle joints, hip joints, wrist joints, elbow joints, shoulder joints, finger joints, toe joints, etc., and vertebrae/vertebrae interfaces and vertebrae/skull interfaces. Consequently, the content of this Detailed Description should not be interpreted as being limited to knees, but should be consider to encompass all types of joints and bone interfaces, without limitation.
[0248] Although the present invention has been described with reference to preferred embodiments, persons skilled in the art will recognize that changes may be made in form and detail without departing from the spirit and scope of the invention.

Claims

CLAIMSWhat is claimed is:
1. A method of generating a restored bone model representative of at least a portion of a patient bone in a pre-degenerated state, the method comprising: determining reference information from a reference portion of a degenerated bone model representative of the at least a portion of the patient bone in a degenerated state; and using the reference information to restore a degenerated portion of the degenerated bone model into a restored portion representative of the degenerated portion in the pre-degenerated state.
2. The method of claim 1 , wherein the reference portion is associated with a portion of the degenerated bone model that represents a non-degenerated portion of the at least a portion of the patient bone.
3. The method of claim 2, wherein the reference information is associated with at least one image contour line associated with the reference portion.
4. The method of claim 3, wherein the at least one image contour line represents at least one of a bone contour line and a cartilage contour line.
5. The method of claim 3, wherein the at least one image contour line is obtained from at least one image generated via at least one of MRl and CT.
6. The method of claim 3, wherein the reference information includes at least one of ellipse, plane, vector, and line information associated with the at least one image contour line.
7. The method of claim 2, wherein the non-degenerated portion is associated with at least one of a femur condyle and a tibia plateau.
8. The method of claim 1 , wherein the reference information includes vector information.
9. The method of claim 1 , wherein using the reference information to restore a degenerated portion of the degenerated bone model into a restored portion representative of the degenerated portion in the pre-degenerated state includes using the reference information to modify at least one image contour line associated with the degenerated portion.
10. The method of claim 9, wherein the at least one image contour line represents at least one of a bone contour line and a cartilage contour line.
11. The method of claim 9, wherein the at least one image contour line represent a bone contour line.
12. The method of claim 9, wherein the at least one image contour line is obtained from at least one image generated via at least one of MRI and CT.
13. The method of claim 1 , further comprising verifying the accuracy of the restored bone model.
14. The method of claim 13, wherein the accuracy of the restored bone model is acceptable if an axis extending along a trochlear groove of the restored bone model is equal to or less than approximately six degrees of being perpendicular with a line associated with a joint line associated with the restored bone model.
15. The method of claim 1 , further comprising employing the restored bone model in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
16. A customized arthroplasty jig manufactured according to the method of claim 15.
17. The customized arthroplasty jig of claim 16, wherein the jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
18. The customized arthroplasty jig of claim 17, wherein the prosthetic implant is for a total joint replacement or partial joint replacement.
19. A method of generating a computerized bone model representative of at least a portion of a patient bone in a pre-degenerated state, the method comprising: generating at least one image of the patient bone in a degenerated state; identifying a reference portion associated with a generally non- degenerated portion of the patient bone; identifying a degenerated portion associated with a generally degenerated portion of the patient bone; and using information from at least one image associated with the reference portion to modify at least one aspect associated with at least one image associated with the generally degenerated portion.
20. The method of claim 19, wherein the at least one aspect includes at least one contour line.
21. The method of claim 20, wherein the at least one contour line represents a bone contour line.
22. The method of claim 20, wherein the at least one contour line represents at least one of a bone contour line and a cartilage contour line.
23. The method of claim 20, further comprising compiling into a resulting computerized bone model at least the following: at least one contour line associated with at least one image associated with the generally non-degenerated portion; and the modified at least one contour line associated with the at least one image associated with the generally degenerated portion.
24. The method of claim 23, wherein the resulting computerized bone model is the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state.
25. The method of claim 24, wherein the resulting computerized bone model represents bone only.
26. The method of claim 24, wherein the resulting computerized bone model represents at least one of bone and cartilage.
27. The method of claim 19, wherein the information includes at least one of ellipse information, line information, plane information, and vector information.
28. The method of claim 19, wherein the information includes vector information.
29. The method of claim 19, wherein the information is associated with at least one of a femur condyle and a tibia plateau.
30. The method of claim 19, wherein the images are generated via at least one of MRI and CT.
31. The method of claim 19, wherein the patient bone is at least one of a femur and a tibia.
32. The method of claim 19, further comprising verifying the accuracy of the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state.
33. The method of claim 32, wherein the accuracy of the computerized bone model representative of the at least a portion of the patient bone in the pre- degenerated state is acceptable if an axis extending along a trochlear groove of the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state is equal to or less than approximately six degrees of being perpendicular with a line associated with a joint line associated with the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state.
34. The method of claim 19, further comprising employing the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
35. A customized arthroplasty jig manufactured according to the method of claim 34.
36. The customized arthroplasty jig of claim 35, wherein the jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
37. The customized arthroplasty jig of claim 36, wherein the prosthetic implant is for a total joint replacement or partial joint replacement.
38. A method of generating a computerized bone model representative of at least a portion of a first patient bone in a pre-degenerated state, the method comprising: generating at least one image of the first patient bone in a degenerated state; identifying a reference portion associated with a generally non- degenerated portion of a second patient bone; identifying a degenerated portion associated with a generally degenerated portion of the first patient bone; and using information from at least one image associated with the reference portion to modify at least one aspect associated with at least one image associated the generally degenerated portion.
39. The method of claim 38, wherein the first patient bone is part of a first joint and the second patient bone is part of a second joint.
40. The method of claim 38, wherein the first patient bone and the second patient bone are part of the same joint.
41. The method of claim 38, wherein the at least one aspect includes at least one contour line.
42. The method of claim 41 , wherein the at least one contour line represents a bone contour line.
43. The method of claim 41 , wherein the at least one contour line represents at least one of a bone contour line and a cartilage contour line.
44. The method of claim 41 , further comprising compiling into a resulting computerized bone model at least the following: at least one contour line associated with at least one image associated with the generally non-degenerated portion; and the modified at least one contour line associated with the at least one image associated with the generally degenerated portion.
45. The method of claim 44, wherein the resulting computerized bone model is the computerized bone model representative of the at least a portion of the patient bone in the pre-degenerated state.
46. The method of claim 45, wherein the resulting computerized bone model represents bone only.
47. The method of claim 45, wherein the resulting computerized bone model represents at least one of bone and cartilage.
48. The method of claim 38, wherein the information includes at least one of ellipse information, circle information, line information, plane information, and vector information.
49. The method of claim 38, wherein the information includes vector information.
50. The method of claim 38, wherein the information is associated with at least one of a femur condyle and a tibia plateau.
51. The method of claim 38, wherein the images are generated via at least one of MRI and CT.
52. The method of claim 38, wherein the first patient bone is at least one of a femur and a tibia.
53. The method of claim 38, further comprising verifying the accuracy of the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state.
54. The method of claim 53, wherein the accuracy of the computerized bone model representative of the at least a portion of the first patient bone in the pre- degenerated state is acceptable if an axis extending along a trochlear groove of the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state is equal to or less than approximately six degrees of being perpendicular with a line associated with a joint line associated with the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state.
55. The method of claim 38, further comprising employing the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
56. A customized arthroplasty jig manufactured according to the method of claim 55.
57. The customized arthroplasty jig of claim 56, wherein the jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
58. The customized arthroplasty jig of claim 57, wherein the prosthetic implant is for a total joint replacement or partial joint replacement.
59. A method of generating a computerized bone model representative of at least a portion of a first patient bone in a pre-degenerated state, wherein the first patient bone is part of a first patient joint, the method comprising: identifying a second patient bone of a second joint, wherein the second bone is a generally symmetrical mirror image of the first patient bone; generating a plurality of images of the second patient bone when the second patient bone is in a generally non-degenerated state; mirroring the plurality of images to reverse the order of the plurality images; and compiling the plurality of images in the reversed order to form the computerized bone model representative of the at least a portion of the first patient bone.
60. The method of claim 59, wherein the first and second joints are knee joints.
61. The method of claim 59, wherein the first and second joints are selected from the group consisting of knee joints, elbow joints, hip joints, wrist joints, shoulder joints, and ankle joints.
62. The method of claim 59, wherein the images are generated via at least one of MRI and CT.
63. The method of claim 59, further comprising employing the computerized bone model representative of the at least a portion of the first patient bone in the pre-degenerated state in defining manufacturing instructions for the manufacture of a customized arthroplasty jig.
64. A customized arthroplasty jig manufactured according to the method of claim 63.
65. The customized arthroplasty jig of claim 64, wherein the jig is configured to facilitate a prosthetic implant restoring a patient joint to a natural alignment.
66. The customized arthroplasty jig of claim 65, wherein the prosthetic implant is for a total joint replacement or partial joint replacement.
PCT/US2009/041519 2008-04-29 2009-04-23 Generation of a computerized bone model representative of a pre-degenerated state and useable in the design and manufacture of arthroplasty devices WO2009134672A1 (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013528457A (en) * 2010-06-16 2013-07-11 エーツー・サージカル A method to determine bone resection on deformed bone surface from a small number of parameters
WO2013173926A1 (en) * 2012-05-24 2013-11-28 Zimmer, Inc. Patient-specific instrumentation and method for articular joint repair
EP3327626A1 (en) * 2008-04-30 2018-05-30 Howmedica Osteonics Corp. Method for generating computer models of a bone to undergo arthroplasty
US10912571B2 (en) 2013-03-15 2021-02-09 Howmedica Osteonics Corporation Generation of a mating surface model for patient specific cutting guide based on anatomical model segmentation
US10932855B2 (en) 2014-09-24 2021-03-02 Depuy Ireland Unlimited Company Surgical planning and method
US11819416B1 (en) 2022-08-09 2023-11-21 Ix Innovation Llc Designing and manufacturing prosthetic implants

Families Citing this family (261)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8083745B2 (en) 2001-05-25 2011-12-27 Conformis, Inc. Surgical tools for arthroplasty
US8556983B2 (en) 2001-05-25 2013-10-15 Conformis, Inc. Patient-adapted and improved orthopedic implants, designs and related tools
US9603711B2 (en) 2001-05-25 2017-03-28 Conformis, Inc. Patient-adapted and improved articular implants, designs and related guide tools
US8735773B2 (en) 2007-02-14 2014-05-27 Conformis, Inc. Implant device and method for manufacture
US8480754B2 (en) 2001-05-25 2013-07-09 Conformis, Inc. Patient-adapted and improved articular implants, designs and related guide tools
US8771365B2 (en) 2009-02-25 2014-07-08 Conformis, Inc. Patient-adapted and improved orthopedic implants, designs, and related tools
US7635390B1 (en) 2000-01-14 2009-12-22 Marctec, Llc Joint replacement component having a modular articulating surface
US8439926B2 (en) 2001-05-25 2013-05-14 Conformis, Inc. Patient selectable joint arthroplasty devices and surgical tools
US7708741B1 (en) 2001-08-28 2010-05-04 Marctec, Llc Method of preparing bones for knee replacement surgery
US9155544B2 (en) 2002-03-20 2015-10-13 P Tech, Llc Robotic systems and methods
US8801720B2 (en) 2002-05-15 2014-08-12 Otismed Corporation Total joint arthroplasty system
WO2004112610A2 (en) 2003-06-09 2004-12-29 Vitruvian Orthopaedics, Llc Surgical orientation device and method
US7559931B2 (en) 2003-06-09 2009-07-14 OrthAlign, Inc. Surgical orientation system and method
DE602004026400D1 (en) * 2004-02-24 2010-05-20 Lafarge Platres Method and device for producing a hydraulically set pore body
EP2671521A3 (en) 2006-02-06 2013-12-25 ConforMIS, Inc. Patient selectable joint arthroplasty devices and surgical tools
US8500740B2 (en) 2006-02-06 2013-08-06 Conformis, Inc. Patient-specific joint arthroplasty devices for ligament repair
US9808262B2 (en) 2006-02-15 2017-11-07 Howmedica Osteonics Corporation Arthroplasty devices and related methods
US9017336B2 (en) 2006-02-15 2015-04-28 Otismed Corporation Arthroplasty devices and related methods
US7967868B2 (en) 2007-04-17 2011-06-28 Biomet Manufacturing Corp. Patient-modified implant and associated method
US8070752B2 (en) 2006-02-27 2011-12-06 Biomet Manufacturing Corp. Patient specific alignment guide and inter-operative adjustment
US8282646B2 (en) 2006-02-27 2012-10-09 Biomet Manufacturing Corp. Patient specific knee alignment guide and associated method
US8535387B2 (en) 2006-02-27 2013-09-17 Biomet Manufacturing, Llc Patient-specific tools and implants
US8092465B2 (en) 2006-06-09 2012-01-10 Biomet Manufacturing Corp. Patient specific knee alignment guide and associated method
US8241293B2 (en) 2006-02-27 2012-08-14 Biomet Manufacturing Corp. Patient specific high tibia osteotomy
US8603180B2 (en) 2006-02-27 2013-12-10 Biomet Manufacturing, Llc Patient-specific acetabular alignment guides
US8864769B2 (en) 2006-02-27 2014-10-21 Biomet Manufacturing, Llc Alignment guides with patient-specific anchoring elements
US8608748B2 (en) 2006-02-27 2013-12-17 Biomet Manufacturing, Llc Patient specific guides
US9907659B2 (en) 2007-04-17 2018-03-06 Biomet Manufacturing, Llc Method and apparatus for manufacturing an implant
US9113971B2 (en) 2006-02-27 2015-08-25 Biomet Manufacturing, Llc Femoral acetabular impingement guide
US8377066B2 (en) 2006-02-27 2013-02-19 Biomet Manufacturing Corp. Patient-specific elbow guides and associated methods
US20150335438A1 (en) 2006-02-27 2015-11-26 Biomet Manufacturing, Llc. Patient-specific augments
US10278711B2 (en) 2006-02-27 2019-05-07 Biomet Manufacturing, Llc Patient-specific femoral guide
US9289253B2 (en) 2006-02-27 2016-03-22 Biomet Manufacturing, Llc Patient-specific shoulder guide
US9339278B2 (en) 2006-02-27 2016-05-17 Biomet Manufacturing, Llc Patient-specific acetabular guides and associated instruments
US8608749B2 (en) 2006-02-27 2013-12-17 Biomet Manufacturing, Llc Patient-specific acetabular guides and associated instruments
US8591516B2 (en) 2006-02-27 2013-11-26 Biomet Manufacturing, Llc Patient-specific orthopedic instruments
US9345548B2 (en) 2006-02-27 2016-05-24 Biomet Manufacturing, Llc Patient-specific pre-operative planning
US8407067B2 (en) 2007-04-17 2013-03-26 Biomet Manufacturing Corp. Method and apparatus for manufacturing an implant
US8298237B2 (en) 2006-06-09 2012-10-30 Biomet Manufacturing Corp. Patient-specific alignment guide for multiple incisions
US8858561B2 (en) 2006-06-09 2014-10-14 Blomet Manufacturing, LLC Patient-specific alignment guide
US8568487B2 (en) 2006-02-27 2013-10-29 Biomet Manufacturing, Llc Patient-specific hip joint devices
US9173661B2 (en) 2006-02-27 2015-11-03 Biomet Manufacturing, Llc Patient specific alignment guide with cutting surface and laser indicator
US9918740B2 (en) 2006-02-27 2018-03-20 Biomet Manufacturing, Llc Backup surgical instrument system and method
US8473305B2 (en) 2007-04-17 2013-06-25 Biomet Manufacturing Corp. Method and apparatus for manufacturing an implant
US8133234B2 (en) 2006-02-27 2012-03-13 Biomet Manufacturing Corp. Patient specific acetabular guide and method
US9795399B2 (en) 2006-06-09 2017-10-24 Biomet Manufacturing, Llc Patient-specific knee alignment guide and associated method
US8460302B2 (en) 2006-12-18 2013-06-11 Otismed Corporation Arthroplasty devices and related methods
EP2591756A1 (en) 2007-02-14 2013-05-15 Conformis, Inc. Implant device and method for manufacture
US9101394B2 (en) 2007-04-19 2015-08-11 Mako Surgical Corp. Implant planning using captured joint motion information
US10758283B2 (en) 2016-08-11 2020-09-01 Mighty Oak Medical, Inc. Fixation devices having fenestrations and methods for using the same
WO2009025783A1 (en) 2007-08-17 2009-02-26 Mohamed Rashwan Mahfouz Implant design analysis suite
US8265949B2 (en) 2007-09-27 2012-09-11 Depuy Products, Inc. Customized patient surgical plan
US8357111B2 (en) 2007-09-30 2013-01-22 Depuy Products, Inc. Method and system for designing patient-specific orthopaedic surgical instruments
US9138239B2 (en) 2007-09-30 2015-09-22 DePuy Synthes Products, Inc. Customized patient-specific tibial cutting blocks
US9173662B2 (en) 2007-09-30 2015-11-03 DePuy Synthes Products, Inc. Customized patient-specific tibial cutting blocks
US8979855B2 (en) 2007-09-30 2015-03-17 DePuy Synthes Products, Inc. Customized patient-specific bone cutting blocks
EP2959848B1 (en) 2007-09-30 2019-04-17 DePuy Products, Inc. Customized patient-specific orthopaedic surgical instrumentation
US8460303B2 (en) 2007-10-25 2013-06-11 Otismed Corporation Arthroplasty systems and devices, and related methods
USD642263S1 (en) 2007-10-25 2011-07-26 Otismed Corporation Arthroplasty jig blank
US10582934B2 (en) 2007-11-27 2020-03-10 Howmedica Osteonics Corporation Generating MRI images usable for the creation of 3D bone models employed to make customized arthroplasty jigs
AU2008335328B2 (en) 2007-12-06 2014-11-27 Smith & Nephew, Inc. Systems and methods for determining the mechanical axis of a femur
US8715291B2 (en) 2007-12-18 2014-05-06 Otismed Corporation Arthroplasty system and related methods
US8480679B2 (en) 2008-04-29 2013-07-09 Otismed Corporation Generation of a computerized bone model representative of a pre-degenerated state and useable in the design and manufacture of arthroplasty devices
US8221430B2 (en) 2007-12-18 2012-07-17 Otismed Corporation System and method for manufacturing arthroplasty jigs
US8545509B2 (en) * 2007-12-18 2013-10-01 Otismed Corporation Arthroplasty system and related methods
US8777875B2 (en) 2008-07-23 2014-07-15 Otismed Corporation System and method for manufacturing arthroplasty jigs having improved mating accuracy
US8737700B2 (en) 2007-12-18 2014-05-27 Otismed Corporation Preoperatively planning an arthroplasty procedure and generating a corresponding patient specific arthroplasty resection guide
US8617171B2 (en) 2007-12-18 2013-12-31 Otismed Corporation Preoperatively planning an arthroplasty procedure and generating a corresponding patient specific arthroplasty resection guide
US8160345B2 (en) 2008-04-30 2012-04-17 Otismed Corporation System and method for image segmentation in generating computer models of a joint to undergo arthroplasty
WO2009105665A1 (en) 2008-02-20 2009-08-27 Mako Surgical Corp. Implant planning using corrected captured joint motion information
US8734455B2 (en) 2008-02-29 2014-05-27 Otismed Corporation Hip resurfacing surgical guide tool
WO2009111626A2 (en) 2008-03-05 2009-09-11 Conformis, Inc. Implants for altering wear patterns of articular surfaces
EP2303193A4 (en) 2008-05-12 2012-03-21 Conformis Inc Devices and methods for treatment of facet and other joints
FR2932674B1 (en) 2008-06-20 2011-11-18 Tornier Sa METHOD FOR MODELING A GLENOIDAL SURFACE OF AN OMOPLATE, DEVICE FOR IMPLANTING A GLENOIDAL COMPONENT OF A SHOULDER PROSTHESIS, AND METHOD FOR MANUFACTURING SUCH COMPOUND
US8617175B2 (en) 2008-12-16 2013-12-31 Otismed Corporation Unicompartmental customized arthroplasty cutting jigs and methods of making the same
EP3381382A1 (en) 2008-07-24 2018-10-03 OrthAlign, Inc. Systems for joint replacement
EP2358310B1 (en) 2008-09-10 2019-07-31 OrthAlign, Inc. Hip surgery systems
US8992538B2 (en) 2008-09-30 2015-03-31 DePuy Synthes Products, Inc. Customized patient-specific acetabular orthopaedic surgical instrument and method of use and fabrication
US9364291B2 (en) * 2008-12-11 2016-06-14 Mako Surgical Corp. Implant planning using areas representing cartilage
US8170641B2 (en) 2009-02-20 2012-05-01 Biomet Manufacturing Corp. Method of imaging an extremity of a patient
EP2405865B1 (en) * 2009-02-24 2019-04-17 ConforMIS, Inc. Automated systems for manufacturing patient-specific orthopedic implants and instrumentation
US9078755B2 (en) 2009-02-25 2015-07-14 Zimmer, Inc. Ethnic-specific orthopaedic implants and custom cutting jigs
CN102438559B (en) 2009-02-25 2015-03-25 捷迈有限公司 Customized orthopaedic implants
US8118815B2 (en) 2009-07-24 2012-02-21 OrthAlign, Inc. Systems and methods for joint replacement
US10869771B2 (en) 2009-07-24 2020-12-22 OrthAlign, Inc. Systems and methods for joint replacement
DE102009028503B4 (en) 2009-08-13 2013-11-14 Biomet Manufacturing Corp. Resection template for the resection of bones, method for producing such a resection template and operation set for performing knee joint surgery
WO2011059641A1 (en) 2009-10-29 2011-05-19 Zimmer, Inc. Patient-specific mill guide
AU2010327987B2 (en) 2009-12-11 2015-04-02 Conformis, Inc. Patient-specific and patient-engineered orthopedic implants
CA2825042C (en) * 2010-01-21 2021-01-05 OrthAlign, Inc. Systems and methods for joint replacement
US8652148B2 (en) * 2010-02-25 2014-02-18 Zimmer, Inc. Tracked cartilage repair system
EP2538864B1 (en) 2010-02-25 2018-10-31 DePuy Products, Inc. Customized patient-specific bone cutting blocks
US10149722B2 (en) * 2010-02-25 2018-12-11 DePuy Synthes Products, Inc. Method of fabricating customized patient-specific bone cutting blocks
US8632547B2 (en) 2010-02-26 2014-01-21 Biomet Sports Medicine, Llc Patient-specific osteotomy devices and methods
US9066727B2 (en) 2010-03-04 2015-06-30 Materialise Nv Patient-specific computed tomography guides
US9579106B2 (en) 2010-03-31 2017-02-28 New York Society For The Relief Of The Ruptured And Crippled, Maintaining The Hospital For Special Surgery Shoulder arthroplasty instrumentation
US8974459B1 (en) 2010-05-21 2015-03-10 Howmedica Osteonics Corp. Natural alignment knee instruments
CA2802119C (en) 2010-06-11 2019-03-26 Sunnybrook Health Sciences Center Method of forming patient-specific implant
US9386994B2 (en) 2010-06-11 2016-07-12 Smith & Nephew, Inc. Patient-matched instruments
WO2017066518A1 (en) 2010-06-29 2017-04-20 Mighty Oak Medical, Inc. Patient-matched apparatus and methods for performing surgical procedures
US11039889B2 (en) 2010-06-29 2021-06-22 Mighty Oak Medical, Inc. Patient-matched apparatus and methods for performing surgical procedures
US9642633B2 (en) 2010-06-29 2017-05-09 Mighty Oak Medical, Inc. Patient-matched apparatus and methods for performing surgical procedures
US11376073B2 (en) 2010-06-29 2022-07-05 Mighty Oak Medical Inc. Patient-matched apparatus and methods for performing surgical procedures
US8870889B2 (en) 2010-06-29 2014-10-28 George Frey Patient matching surgical guide and method for using the same
US11806197B2 (en) 2010-06-29 2023-11-07 Mighty Oak Medical, Inc. Patient-matched apparatus for use in spine related surgical procedures and methods for using the same
JP5871288B2 (en) 2010-06-29 2016-03-01 フライ, ジョージFREY, George Patient-adapted surgical guide and method of use
US8808302B2 (en) 2010-08-12 2014-08-19 DePuy Synthes Products, LLC Customized patient-specific acetabular orthopaedic surgical instrument and method of use and fabrication
EP2611392B1 (en) 2010-09-01 2021-03-03 Mayo Foundation For Medical Education And Research Method for optimization of joint arthroplasty component design
US9320608B2 (en) 2010-09-01 2016-04-26 Mayo Foundation For Medical Education And Research Method for optimization of joint arthroplasty component design
US9271744B2 (en) 2010-09-29 2016-03-01 Biomet Manufacturing, Llc Patient-specific guide for partial acetabular socket replacement
US9717508B2 (en) 2010-10-29 2017-08-01 The Cleveland Clinic Foundation System of preoperative planning and provision of patient-specific surgical aids
US9254155B2 (en) 2010-10-29 2016-02-09 The Cleveland Clinic Foundation System and method for assisting with arrangement of a stock instrument with respect to a patient tissue
EP3449848A1 (en) 2010-10-29 2019-03-06 The Cleveland Clinic Foundation System for assisting with attachment of a stock implant to a patient tissue
EP2632348B1 (en) 2010-10-29 2019-07-17 The Cleveland Clinic Foundation System and method for association of a guiding aid with a patient tissue
US9968376B2 (en) 2010-11-29 2018-05-15 Biomet Manufacturing, Llc Patient-specific orthopedic instruments
AU2012217654B2 (en) 2011-02-15 2016-09-22 Conformis, Inc. Patient-adapted and improved articular implants, procedures and tools to address, assess, correct, modify and/or accommodate anatomical variation and/or asymmetry
US9241745B2 (en) 2011-03-07 2016-01-26 Biomet Manufacturing, Llc Patient-specific femoral version guide
US8715289B2 (en) 2011-04-15 2014-05-06 Biomet Manufacturing, Llc Patient-specific numerically controlled instrument
US9675400B2 (en) 2011-04-19 2017-06-13 Biomet Manufacturing, Llc Patient-specific fracture fixation instrumentation and method
US8668700B2 (en) 2011-04-29 2014-03-11 Biomet Manufacturing, Llc Patient-specific convertible guides
US8956364B2 (en) 2011-04-29 2015-02-17 Biomet Manufacturing, Llc Patient-specific partial knee guides and other instruments
US10130378B2 (en) * 2011-05-11 2018-11-20 The Cleveland Clinic Foundation Generating patient specific instruments for use as surgical aids
CN103732160B (en) 2011-05-19 2016-05-11 克里夫兰诊所基金会 For the apparatus and method of the reference instruction to patient tissue are provided
US8532807B2 (en) 2011-06-06 2013-09-10 Biomet Manufacturing, Llc Pre-operative planning and manufacturing method for orthopedic procedure
US9084618B2 (en) 2011-06-13 2015-07-21 Biomet Manufacturing, Llc Drill guides for confirming alignment of patient-specific alignment guides
USD775335S1 (en) 2011-06-29 2016-12-27 Mighty Oak Medical, Inc. Multi-level surgical guide
USD738498S1 (en) 2013-12-16 2015-09-08 George Frey Sacroiliac surgical guide
USD745672S1 (en) 2012-09-18 2015-12-15 George Frey Thoracic surgical guide
US8641721B2 (en) 2011-06-30 2014-02-04 DePuy Synthes Products, LLC Customized patient-specific orthopaedic pin guides
US20130001121A1 (en) 2011-07-01 2013-01-03 Biomet Manufacturing Corp. Backup kit for a patient-specific arthroplasty kit assembly
US8764760B2 (en) 2011-07-01 2014-07-01 Biomet Manufacturing, Llc Patient-specific bone-cutting guidance instruments and methods
US8597365B2 (en) 2011-08-04 2013-12-03 Biomet Manufacturing, Llc Patient-specific pelvic implants for acetabular reconstruction
US9066734B2 (en) 2011-08-31 2015-06-30 Biomet Manufacturing, Llc Patient-specific sacroiliac guides and associated methods
US9295497B2 (en) 2011-08-31 2016-03-29 Biomet Manufacturing, Llc Patient-specific sacroiliac and pedicle guides
US10603049B2 (en) 2011-09-02 2020-03-31 Episurf Ip-Management Ab Implant specific drill bit in surgical kit for cartilage repair
US11000387B2 (en) 2011-09-02 2021-05-11 Episurf Ip-Management Ab Implant for cartilage repair
CA2849311C (en) 2011-09-29 2020-01-14 ArthroCAD, Inc. System and method for precise prosthesis positioning in hip arthroplasty
US9386993B2 (en) 2011-09-29 2016-07-12 Biomet Manufacturing, Llc Patient-specific femoroacetabular impingement instruments and methods
WO2013055203A1 (en) * 2011-10-14 2013-04-18 Academisch Medisch Centrum Bij De Universiteit Van Amsterdam Method to provide at least one patient specific device to be used for bone correction, a treatment kit, a method of operating a data-processing system, a computer program, and a correction and fixation device and a cutting assisting device for bone correction.
US9301812B2 (en) 2011-10-27 2016-04-05 Biomet Manufacturing, Llc Methods for patient-specific shoulder arthroplasty
KR20130046337A (en) 2011-10-27 2013-05-07 삼성전자주식회사 Multi-view device and contol method thereof, display apparatus and contol method thereof, and display system
US9554910B2 (en) 2011-10-27 2017-01-31 Biomet Manufacturing, Llc Patient-specific glenoid guide and implants
EP3384858A1 (en) 2011-10-27 2018-10-10 Biomet Manufacturing, LLC Patient-specific glenoid guides
US9451973B2 (en) 2011-10-27 2016-09-27 Biomet Manufacturing, Llc Patient specific glenoid guide
US9913690B2 (en) 2011-12-21 2018-03-13 Zimmer, Inc. System and method for pre-operatively determining desired alignment of a knee joint
US9408686B1 (en) 2012-01-20 2016-08-09 Conformis, Inc. Devices, systems and methods for manufacturing orthopedic implants
CA2862341C (en) 2012-01-24 2021-01-12 Zimmer, Inc. Method and system for creating patient-specific instrumentation for chondral graft transfer
US9237950B2 (en) 2012-02-02 2016-01-19 Biomet Manufacturing, Llc Implant with patient-specific porous structure
CN104203134B (en) 2012-03-28 2017-06-20 奥尔索夫特公司 Use the glenoid cavity implant surgery of patient-specific apparatus
US9486226B2 (en) 2012-04-18 2016-11-08 Conformis, Inc. Tibial guides, tools, and techniques for resecting the tibial plateau
US9622820B2 (en) * 2012-05-03 2017-04-18 Siemens Product Lifecycle Management Software Inc. Feature-driven rule-based framework for orthopedic surgical planning
US9549742B2 (en) 2012-05-18 2017-01-24 OrthAlign, Inc. Devices and methods for knee arthroplasty
US9675471B2 (en) 2012-06-11 2017-06-13 Conformis, Inc. Devices, techniques and methods for assessing joint spacing, balancing soft tissues and obtaining desired kinematics for joint implant components
EP2872065A1 (en) * 2012-07-12 2015-05-20 AO Technology AG Method for generating a graphical 3d computer model of at least one anatomical structure in a selectable pre-, intra-, or postoperative status
US10271886B2 (en) * 2012-07-23 2019-04-30 Zimmer, Inc. Patient-specific instrumentation for implant revision surgery
AU2013296108B2 (en) 2012-07-24 2017-08-31 Orthosoft Ulc Patient specific instrumentation with mems in surgery
US9649160B2 (en) 2012-08-14 2017-05-16 OrthAlign, Inc. Hip replacement navigation system and method
US20150223941A1 (en) * 2012-08-27 2015-08-13 Conformis, Inc. Methods, Devices and Techniques for Improved Placement and Fixation of Shoulder Implant Components
USD745671S1 (en) 2012-09-18 2015-12-15 George Frey Transitional surgical guide
USD745673S1 (en) 2012-09-18 2015-12-15 George Frey Lumbar surgical guide
EP2939215B1 (en) * 2012-09-18 2020-12-02 Think Surgical, Inc. System and method for creating a three-dimensional bone model
US9646229B2 (en) 2012-09-28 2017-05-09 Siemens Medical Solutions Usa, Inc. Method and system for bone segmentation and landmark detection for joint replacement surgery
US9402637B2 (en) 2012-10-11 2016-08-02 Howmedica Osteonics Corporation Customized arthroplasty cutting guides and surgical methods using the same
US9060788B2 (en) 2012-12-11 2015-06-23 Biomet Manufacturing, Llc Patient-specific acetabular guide for anterior approach
US9204977B2 (en) 2012-12-11 2015-12-08 Biomet Manufacturing, Llc Patient-specific acetabular guide for anterior approach
US9387083B2 (en) 2013-01-30 2016-07-12 Conformis, Inc. Acquiring and utilizing kinematic information for patient-adapted implants, tools and surgical procedures
US11024080B2 (en) 2013-03-11 2021-06-01 Autodesk, Inc. Techniques for slicing a 3D model for manufacturing
US10054932B2 (en) * 2013-03-11 2018-08-21 Autodesk, Inc. Techniques for two-way slicing of a 3D model for manufacturing
US9839438B2 (en) 2013-03-11 2017-12-12 Biomet Manufacturing, Llc Patient-specific glenoid guide with a reusable guide holder
US9579107B2 (en) 2013-03-12 2017-02-28 Biomet Manufacturing, Llc Multi-point fit for patient specific guide
US9826981B2 (en) 2013-03-13 2017-11-28 Biomet Manufacturing, Llc Tangential fit of patient-specific guides
US9498233B2 (en) 2013-03-13 2016-11-22 Biomet Manufacturing, Llc. Universal acetabular guide and associated hardware
US11096668B2 (en) 2013-03-13 2021-08-24 Samsung Electronics Co., Ltd. Method and ultrasound apparatus for displaying an object
WO2014142468A1 (en) 2013-03-13 2014-09-18 Samsung Electronics Co., Ltd. Method of providing copy image and ultrasound apparatus therefor
US9737367B2 (en) 2013-03-15 2017-08-22 Conformis, Inc. Historical patient-specific information for articular repair systems
US9517145B2 (en) 2013-03-15 2016-12-13 Biomet Manufacturing, Llc Guide alignment system and method
WO2014145373A2 (en) * 2013-03-15 2014-09-18 Curexo Technology Corporation Process for creating bone cavities for bone healing
AU2014232933A1 (en) 2013-03-15 2015-10-29 Arthromeda, Inc. Systems and methods for providing alignment in total knee arthroplasty
US20160038291A1 (en) * 2013-03-15 2016-02-11 Think Surgical, Inc. Process for creating unique patterns in bone for cartilage replacement
AU2014274748B2 (en) 2013-06-07 2018-03-01 George Frey Patient-matched apparatus and methods for performing surgical procedures
CA2908780A1 (en) 2013-06-11 2014-12-18 Orthosoft Inc. Computer assisted subchondral injection
EP3007655B1 (en) 2013-06-11 2020-09-02 Orthosoft ULC Acetabular cup prosthesis positioning instrument
DE102013210855A1 (en) * 2013-06-11 2014-12-11 Siemens Aktiengesellschaft A method for adjusting a slice position within a slice protocol for a magnetic resonance examination and a magnetic resonance apparatus for carrying out the method
US11850061B2 (en) 2013-08-09 2023-12-26 O.N.Diagnostics, LLC Clinical assessment of fragile bone strength
US9848818B1 (en) 2013-08-09 2017-12-26 O.N.Diagnostics, LLC Clinical assessment of fragile bone strength
WO2015048319A1 (en) * 2013-09-25 2015-04-02 Zimmer, Inc. Patient specific instrumentation (psi) for orthopedic surgery and systems and methods for using x-rays to produce same
US20150112349A1 (en) 2013-10-21 2015-04-23 Biomet Manufacturing, Llc Ligament Guide Registration
US9852509B2 (en) * 2013-11-01 2017-12-26 Somersault Orthopedics Inc. Method for tibia resection alignment approximation in knee replacement procedures
US9971852B2 (en) * 2013-11-06 2018-05-15 Geoffrey E Olson Robotics connector
WO2015071757A1 (en) 2013-11-13 2015-05-21 Tornier Sas Shoulder patient specific instrument
KR20240014101A (en) * 2013-12-09 2024-01-31 모하메드 라쉬완 마푸즈 A method of generating a trauma plate for a particular bone
KR20160144355A (en) * 2014-04-11 2016-12-16 씽크 써지컬, 인크. Rotatable curved bit and robotic cutting in orthopaedic applications
US10282488B2 (en) 2014-04-25 2019-05-07 Biomet Manufacturing, Llc HTO guide with optional guided ACL/PCL tunnels
US10350022B2 (en) 2014-04-30 2019-07-16 Zimmer, Inc. Acetabular cup impacting using patient-specific instrumentation
US9408616B2 (en) 2014-05-12 2016-08-09 Biomet Manufacturing, Llc Humeral cut guide
WO2015187822A1 (en) 2014-06-03 2015-12-10 Zimmer, Inc. Patient-specific cutting block and method of manufacturing same
US9839436B2 (en) 2014-06-03 2017-12-12 Biomet Manufacturing, Llc Patient-specific glenoid depth control
US9561040B2 (en) 2014-06-03 2017-02-07 Biomet Manufacturing, Llc Patient-specific glenoid depth control
EP3166540B1 (en) * 2014-07-09 2019-06-19 Episurf IP-Management AB A surgical joint implant
WO2016004991A1 (en) 2014-07-09 2016-01-14 Episurf Ip-Management Ab Customized implant for cartilage repair and corresponding method of design
US9833245B2 (en) 2014-09-29 2017-12-05 Biomet Sports Medicine, Llc Tibial tubercule osteotomy
US9826994B2 (en) 2014-09-29 2017-11-28 Biomet Manufacturing, Llc Adjustable glenoid pin insertion guide
CN107106104B (en) * 2015-01-23 2021-08-24 辰维医疗科技有限公司 System and method for orthopedic analysis and treatment planning
EP3253322B1 (en) 2015-02-02 2020-03-11 Orthosoft ULC Acetabulum rim digitizer device
CN112998807B (en) 2015-02-13 2024-07-05 瑟西纳斯医疗技术有限责任公司 System and method for placement of medical devices in bone
US10363149B2 (en) 2015-02-20 2019-07-30 OrthAlign, Inc. Hip replacement navigation system and method
CN107405169B (en) 2015-03-25 2021-01-26 奥尔索夫特无限责任公司 System for assisting implant placement in thin bone such as scapula
US9820868B2 (en) 2015-03-30 2017-11-21 Biomet Manufacturing, Llc Method and apparatus for a pin apparatus
CA2986780C (en) 2015-05-28 2023-07-04 Zimmer, Inc. Patient-specific bone grafting system and method
US10568647B2 (en) 2015-06-25 2020-02-25 Biomet Manufacturing, Llc Patient-specific humeral guide designs
US10226262B2 (en) 2015-06-25 2019-03-12 Biomet Manufacturing, Llc Patient-specific humeral guide designs
US10582969B2 (en) 2015-07-08 2020-03-10 Zimmer, Inc. Patient-specific instrumentation for implant revision surgery
US10874408B2 (en) 2015-09-30 2020-12-29 Zimmer, Inc Patient-specific instrumentation for patellar resurfacing surgery and method
ITUB20154673A1 (en) * 2015-10-14 2017-04-14 Riva Gian Guido 4-IN-1 CUTTING MASK FOR FEMORAL FINISHING
US10058393B2 (en) 2015-10-21 2018-08-28 P Tech, Llc Systems and methods for navigation and visualization
US10034753B2 (en) 2015-10-22 2018-07-31 DePuy Synthes Products, Inc. Customized patient-specific orthopaedic instruments for component placement in a total hip arthroplasty
GB2544531A (en) * 2015-11-20 2017-05-24 Imorphics Ltd Image processing method
US10624764B2 (en) 2015-11-26 2020-04-21 Orthosoft Ulc System and method for the registration of an anatomical feature
CA3007082A1 (en) 2015-12-16 2017-06-22 Tornier, Inc. Patient specific instruments and methods for joint prosthesis
US11526988B2 (en) 2015-12-18 2022-12-13 Episurf Ip-Management Ab System and method for creating a decision support material indicating damage to an anatomical joint
DK3181050T3 (en) * 2015-12-18 2020-05-11 Episurf Ip Man Ab System and method for forming a decision support material indicating damage to an anatomical joint
US11653976B2 (en) 2016-03-02 2023-05-23 Think Surgical, Inc. Automated arthroplasty planning
EP4218684A1 (en) * 2016-03-31 2023-08-02 Chen Yang Artificial prosthesis for knee arthroplasty
CN107280818B (en) * 2016-03-31 2024-02-27 杨晨 Femoral-side prosthesis and tibial-side prosthesis for artificial knee replacement
US10085708B2 (en) * 2016-05-11 2018-10-02 Toshiba Medical Systems Corporation Medical image processing apparatus, medical image diagnostic apparatus, and image processing method
US10743890B2 (en) 2016-08-11 2020-08-18 Mighty Oak Medical, Inc. Drill apparatus and surgical fixation devices and methods for using the same
US12016573B2 (en) 2016-08-11 2024-06-25 Mighty Oak Medical, Inc. Drill apparatus and surgical fixation devices and methods for using the same
CN106264731B (en) * 2016-10-11 2019-07-16 昆明医科大学第一附属医院 A method of based on the virtual knee joint single condyle displacement technique model construction of point-to-point registration technique
US10722310B2 (en) 2017-03-13 2020-07-28 Zimmer Biomet CMF and Thoracic, LLC Virtual surgery planning system and method
EP3595554A4 (en) 2017-03-14 2021-01-06 OrthAlign, Inc. Hip replacement navigation systems and methods
AU2018236205B2 (en) 2017-03-14 2023-10-12 OrthAlign, Inc. Soft tissue measurement and balancing systems and methods
AU2018234572B2 (en) * 2017-03-14 2023-07-20 Stephen B. Murphy Systems and methods for determining leg length change during hip surgery
US10667867B2 (en) 2017-05-03 2020-06-02 Stryker European Holdings I, Llc Methods of pose estimation of three-dimensional bone models in surgical planning a total ankle replacement
AU2018203343B2 (en) 2017-05-15 2023-04-27 Howmedica Osteonics Corp. Patellofemoral implant
US10940666B2 (en) 2017-05-26 2021-03-09 Howmedica Osteonics Corp. Packaging structures and additive manufacturing thereof
US11250561B2 (en) 2017-06-16 2022-02-15 Episurf Ip-Management Ab Determination and visualization of damage to an anatomical joint
US11399851B2 (en) 2017-07-11 2022-08-02 Howmedica Osteonics Corp. Guides and instruments for improving accuracy of glenoid implant placement
EP3651662A1 (en) 2017-07-11 2020-05-20 Tornier, Inc. Patient specific humeral cutting guides
CN117159116A (en) 2017-08-14 2023-12-05 瑟西纳斯医疗技术有限责任公司 System and method using augmented reality with shape alignment for placement of medical devices in bones
USD858765S1 (en) 2017-10-26 2019-09-03 Mighty Oak Medical, Inc. Cortical surgical guide
USD857893S1 (en) 2017-10-26 2019-08-27 Mighty Oak Medical, Inc. Cortical surgical guide
FR3074417B1 (en) * 2017-12-05 2022-04-08 Gemon Jean Pierre PROCESS FOR MANUFACTURING A CUSTOM-MADE IMPLANT
EP3498197A3 (en) 2017-12-12 2019-10-16 Orthosoft, Inc. Patient-specific instrumentation for implant revision surgery
WO2019204443A1 (en) 2018-04-17 2019-10-24 Stryker European Holdings I, Llc On-demand implant customization in a surgical setting
USD948717S1 (en) 2018-06-04 2022-04-12 Mighty Oak Medical, Inc. Sacro-iliac guide
USD895111S1 (en) 2018-06-04 2020-09-01 Mighty Oak Medical, Inc. Sacro-iliac guide
DE102018113580A1 (en) 2018-06-07 2019-12-12 Christoph Karl METHOD AND DEVICE FOR PRODUCING AN IMPLANT
WO2019245864A1 (en) 2018-06-19 2019-12-26 Tornier, Inc. Mixed reality-aided education related to orthopedic surgical procedures
US11051829B2 (en) 2018-06-26 2021-07-06 DePuy Synthes Products, Inc. Customized patient-specific orthopaedic surgical instrument
US12042394B2 (en) 2018-08-08 2024-07-23 The Regents Of The University Of Colorado, A Body Corporate Patient-specific spinal implants
US11645749B2 (en) 2018-12-14 2023-05-09 Episurf Ip-Management Ab Determination and visualization of damage to an anatomical joint
AU2020244839B2 (en) 2019-03-26 2023-02-09 Mighty Oak Medical, Inc. Patient-matched apparatus for use in augmented reality assisted surgical procedures and methods for using the same
EP3956812A4 (en) 2019-04-15 2023-01-04 Circinus Medical Technologies LLC Orientation calibration system for image capture
JP7242852B2 (en) * 2019-06-07 2023-03-20 富士フイルム株式会社 JOINT PROJECTION PLANE SETTING DEVICE, METHOD AND PROGRAM
US11439467B1 (en) * 2019-09-10 2022-09-13 Lento Medical, Inc. Knee replacement surgical cut planes estimation for restoring pre-arthritic alignment
KR20220106113A (en) * 2019-10-02 2022-07-28 앙코르 메디컬, 엘.피.(디/비/에이 디제이오 서지컬) Systems and methods for reconstruction and characterization of physiologically healthy and physiologically defective anatomy to facilitate preoperative surgical planning
AU2020393845B2 (en) * 2019-11-26 2023-11-23 Howmedica Osteonics Corp. Pre-operative planning and intra operative guidance for orthopedic surgical procedures in cases of bone fragmentation
US11621086B2 (en) 2020-06-04 2023-04-04 Episurf Ip-Management Ab Customization of individualized implant
WO2022094090A1 (en) 2020-10-30 2022-05-05 Mako Surgical Corp. Robotic surgical system with recovery alignment
WO2022169906A1 (en) 2021-02-02 2022-08-11 Circinus Medical Technology Llc Systems and methods for simulating three- dimensional orientations of surgical hardware devices about an insertion point of an anatomy
CN113507890B (en) * 2021-05-17 2022-09-13 哈尔滨工业大学 Elbow joint flexion and extension three-dimensional motion analysis method and device based on CT image
USD1044829S1 (en) 2021-07-29 2024-10-01 Mako Surgical Corp. Display screen or portion thereof with graphical user interface

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050259882A1 (en) * 2004-05-18 2005-11-24 Agfa-Gevaert N.V. Method for automatically mapping of geometric objects in digital medical images
US7029479B2 (en) * 2000-05-01 2006-04-18 Arthrosurface, Inc. System and method for joint resurface repair
US20070118243A1 (en) 2005-10-14 2007-05-24 Vantus Technology Corporation Personal fit medical implants and orthopedic surgical instruments and methods for making
US20070198022A1 (en) 2001-05-25 2007-08-23 Conformis, Inc. Patient Selectable Joint Arthroplasty Devices and Surgical Tools
US20070226986A1 (en) 2006-02-15 2007-10-04 Ilwhan Park Arthroplasty devices and related methods
US20070276224A1 (en) * 1998-09-14 2007-11-29 The Board Of Trustees Of The Leland Stanford Junior University Assessing the Condition of a Joint and Devising Treatment

Family Cites Families (442)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3195411A (en) 1961-08-08 1965-07-20 Lockwood Kessler & Bartlett In Method and system for reproducing two or three dimensional objects by photogrammetry
US3825151A (en) 1972-05-08 1974-07-23 F Arnaud Container and detachable handle structure therefor
USD245920S (en) 1976-10-01 1977-09-27 Zimmer, U.S.A. Inc. Os calsis prosthesis
US4198712A (en) 1978-10-13 1980-04-22 Swanson Alfred B Scaphoid implant
US4298992A (en) 1980-01-21 1981-11-10 New York Society For The Relief Of The Ruptured And Crippled Posteriorly stabilized total knee joint prosthesis
FR2478462A1 (en) 1980-03-19 1981-09-25 Judet Robert Artificial joint component securing system - uses parallel lugs pressed into holes previously bored in bone with openings in lugs for osseous invasion
US4825857A (en) 1982-02-18 1989-05-02 Howmedica, Inc. Prosthetic knee implantation
FR2521421B1 (en) 1982-02-18 1985-10-11 Grammont Paul TOTAL TROCHLEO-PATTELLAR KNEE PROSTHESIS
USD274161S (en) 1982-02-18 1984-06-05 Howmedica, Inc. Distal femoral cutting jig for the implantation of a prosthetic knee
USD274093S (en) 1982-02-18 1984-05-29 Howmedica, Inc. Femoral spacer/tensor jig for the implantation of a prosthetic knee
US4436684A (en) 1982-06-03 1984-03-13 Contour Med Partners, Ltd. Method of forming implantable prostheses for reconstructive surgery
US4467801A (en) 1983-03-09 1984-08-28 Wright Manufacturing Company Method and apparatus for shaping a proximal tibial surface
US4575330A (en) 1984-08-08 1986-03-11 Uvp, Inc. Apparatus for production of three-dimensional objects by stereolithography
SE451534B (en) 1984-11-27 1987-10-19 Landstingens Inkopscentral ANKELLEDSORTOS
US4719585A (en) 1985-08-28 1988-01-12 General Electric Company Dividing cubes system and method for the display of surface structures contained within the interior region of a solid body
US4721104A (en) 1985-12-02 1988-01-26 Dow Corning Wright Corporation Femoral surface shaping apparatus for posterior-stabilized knee implants
US4822365A (en) * 1986-05-30 1989-04-18 Walker Peter S Method of design of human joint prosthesis
US4936862A (en) * 1986-05-30 1990-06-26 Walker Peter S Method of designing and manufacturing a human joint prosthesis
US4821213A (en) 1986-12-19 1989-04-11 General Electric Co. System for the simultaneous display of two or more internal surfaces within a solid object
US4841975A (en) 1987-04-15 1989-06-27 Cemax, Inc. Preoperative planning of bone cuts and joint replacement using radiant energy scan imaging
US4931056A (en) 1987-09-04 1990-06-05 Neurodynamics, Inc. Catheter guide apparatus for perpendicular insertion into a cranium orifice
US4976737A (en) 1988-01-19 1990-12-11 Research And Education Institute, Inc. Bone reconstruction
EP0326768A3 (en) 1988-02-01 1991-01-23 Faro Medical Technologies Inc. Computer-aided surgery apparatus
GB8802671D0 (en) 1988-02-05 1988-03-02 Goodfellow J W Orthopaedic joint components tools & methods
US5007936A (en) 1988-02-18 1991-04-16 Cemax, Inc. Surgical method for hip joint replacement
US4979949A (en) 1988-04-26 1990-12-25 The Board Of Regents Of The University Of Washington Robot-aided system for surgery
JP2779181B2 (en) 1988-10-26 1998-07-23 マツダ株式会社 Jig automatic design apparatus and jig design method
US5099846A (en) 1988-12-23 1992-03-31 Hardy Tyrone L Method and apparatus for video presentation from a variety of scanner imaging sources
US5011405A (en) 1989-01-24 1991-04-30 Dolphin Imaging Systems Method for determining orthodontic bracket placement
US5027281A (en) 1989-06-09 1991-06-25 Regents Of The University Of Minnesota Method and apparatus for scanning and recording of coordinates describing three dimensional objects of complex and unique geometry
US5141512A (en) 1989-08-28 1992-08-25 Farmer Malcolm H Alignment of hip joint sockets in hip joint replacement
US5122144A (en) * 1989-09-26 1992-06-16 Kirschner Medical Corporation Method and instrumentation for unicompartmental total knee arthroplasty
US5234433A (en) * 1989-09-26 1993-08-10 Kirschner Medical Corporation Method and instrumentation for unicompartmental total knee arthroplasty
EP0425714A1 (en) 1989-10-28 1991-05-08 Metalpraecis Berchem + Schaberg Gesellschaft Für Metallformgebung Mbh Process for manufacturing an implantable joint prosthesis
GB8925380D0 (en) 1989-11-09 1989-12-28 Leonard Ian Producing prostheses
US5037424A (en) 1989-12-21 1991-08-06 Aboczsky Robert I Instrument for orienting, inserting and impacting an acetabular cup prosthesis
US5078719A (en) 1990-01-08 1992-01-07 Schreiber Saul N Osteotomy device and method therefor
US5171276A (en) 1990-01-08 1992-12-15 Caspari Richard B Knee joint prosthesis
US5035699A (en) 1990-01-09 1991-07-30 Dow Corning Wright Patella track cutter and guide
US5454717A (en) 1990-01-19 1995-10-03 Ormco Corporation Custom orthodontic brackets and bracket forming method and apparatus
US5431562A (en) 1990-01-19 1995-07-11 Ormco Corporation Method and apparatus for designing and forming a custom orthodontic appliance and for the straightening of teeth therewith
US5368478A (en) 1990-01-19 1994-11-29 Ormco Corporation Method for forming jigs for custom placement of orthodontic appliances on teeth
US5139419A (en) 1990-01-19 1992-08-18 Ormco Corporation Method of forming an orthodontic brace
US5030219A (en) 1990-01-22 1991-07-09 Boehringer Mannheim Corporation Glenoid component installation tools
US5098383A (en) 1990-02-08 1992-03-24 Artifax Ltd. Device for orienting appliances, prostheses, and instrumentation in medical procedures and methods of making same
USD336518S (en) 1990-02-26 1993-06-15 Engineering & Precison Machining, Inc. Clamp for external fixation orthopedic system
JPH03294976A (en) * 1990-04-13 1991-12-26 Matsushita Electric Ind Co Ltd Reference mark pattern detecting device
US5086401A (en) 1990-05-11 1992-02-04 International Business Machines Corporation Image-directed robotic system for precise robotic surgery including redundant consistency checking
US5274565A (en) * 1990-10-03 1993-12-28 Board Of Regents, The University Of Texas System Process for making custom joint replacements
US5123927A (en) * 1990-12-05 1992-06-23 University Of British Columbia Method and apparatus for antibiotic knee prothesis
US5100408A (en) 1991-03-07 1992-03-31 Smith & Nephew Richards Inc. Femoral instrumentation for long stem surgery
US5514140A (en) 1991-03-07 1996-05-07 Smith & Nephew Richards Inc. Instrumentation for long stem surgery
US5156777A (en) 1991-03-21 1992-10-20 Kaye Alan H Process for making a prosthetic implant
US5236461A (en) 1991-03-22 1993-08-17 Forte Mark R Totally posterior stabilized knee prosthesis
US5231470A (en) 1991-09-06 1993-07-27 Koch Stephen K Scanning system for three-dimensional object digitizing
US5133758A (en) 1991-09-16 1992-07-28 Research And Education Institute, Inc. Harbor-Ucla Medical Center Total knee endoprosthesis with fixed flexion-extension axis of rotation
JPH05269155A (en) * 1992-03-23 1993-10-19 Nikon Corp Artificial bone designing device
US5258032A (en) * 1992-04-03 1993-11-02 Bertin Kim C Knee prosthesis provisional apparatus and resection guide and method of use in knee replacement surgery
US5365996A (en) 1992-06-10 1994-11-22 Amei Technologies Inc. Method and apparatus for making customized fixation devices
DE4219939C2 (en) 1992-06-18 1995-10-19 Klaus Dipl Ing Radermacher Device for aligning, positioning and guiding machining tools, machining or measuring devices for machining a bony structure and method for producing this device
CA2098081A1 (en) 1992-08-13 1994-02-14 Terry L. Dietz Alignment guide and method
US6623516B2 (en) 1992-08-13 2003-09-23 Mark A. Saab Method for changing the temperature of a selected body region
US5320529A (en) 1992-09-09 1994-06-14 Howard C. Weitzman Method and apparatus for locating an ideal site for a dental implant and for the precise surgical placement of that implant
US5360446A (en) 1992-12-18 1994-11-01 Zimmer, Inc. Interactive prosthesis design system for implantable prosthesis
USD346979S (en) 1993-02-11 1994-05-17 Zimmer, Inc. Bone milling template
USD357315S (en) 1993-03-15 1995-04-11 Zimmer, Inc. Bone milling template
BE1007032A3 (en) 1993-04-28 1995-02-21 Ceka Nv METHOD FOR MANUFACTURING A MEMBRANE FOR GUIDED BONE REGENERATION
CA2126627C (en) * 1993-07-06 2005-01-25 Kim C. Bertin Femoral milling instrumentation for use in total knee arthroplasty with optional cutting guide attachment
US5364402A (en) 1993-07-29 1994-11-15 Intermedics Orthopedics, Inc. Tibial spacer saw guide
WO1995007509A1 (en) 1993-09-10 1995-03-16 The University Of Queensland Stereolithographic anatomical modelling process
USD355254S (en) 1993-10-29 1995-02-07 Zimmer, Inc. Bone cutting guide
US5417694A (en) 1993-11-08 1995-05-23 Smith & Nephew Richards Inc. Distal femoral cutting guide apparatus with anterior or posterior referencing for use in knee joint replacement surgery
DE4341367C1 (en) 1993-12-04 1995-06-14 Harald Dr Med Dr Med Eufinger Process for the production of endoprostheses
GB9407153D0 (en) 1994-04-11 1994-06-01 Corin Medical Ltd Unicompartmental knee prosthesis
BE1008372A3 (en) 1994-04-19 1996-04-02 Materialise Nv METHOD FOR MANUFACTURING A perfected MEDICAL MODEL BASED ON DIGITAL IMAGE INFORMATION OF A BODY.
US5908424A (en) 1994-05-16 1999-06-01 Zimmer, Inc, By Said Stalcup, Dietz, Bays And Vanlaningham Tibial milling guide system
USD374078S (en) 1994-06-09 1996-09-24 Zimmer, Inc. Femoral implant
US5484446A (en) 1994-06-27 1996-01-16 Zimmer, Inc. Alignment guide for use in orthopaedic surgery
FR2722392A1 (en) * 1994-07-12 1996-01-19 Biomicron APPARATUS FOR RESECTING KNEE CONDYLES FOR PLACING A PROSTHESIS AND METHOD FOR PLACING SUCH AN APPARATUS
US5639402A (en) 1994-08-08 1997-06-17 Barlow; Joel W. Method for fabricating artificial bone implant green parts
US8603095B2 (en) 1994-09-02 2013-12-10 Puget Bio Ventures LLC Apparatuses for femoral and tibial resection
US5755803A (en) 1994-09-02 1998-05-26 Hudson Surgical Design Prosthetic implant
US5556278A (en) 1994-09-07 1996-09-17 Meitner; Sean W. Method for making and using a template for a dental implant osteotomy and components relating thereto
DE4434539C2 (en) 1994-09-27 1998-06-04 Luis Dr Med Schuster Process for the production of an endoprosthesis as a joint replacement for knee joints
US5824098A (en) 1994-10-24 1998-10-20 Stein; Daniel Patello-femoral joint replacement device and method
FR2726178B1 (en) 1994-10-27 1997-03-28 Impact FEMALE ANCILLARY INSTRUMENTATION FOR THE IMPLANTATION OF A UNICOMPARTMENTAL KNEE PROSTHESIS
US5569260A (en) 1994-12-01 1996-10-29 Petersen; Thomas D. Distal femoral resector guide
JPH11505735A (en) 1995-05-26 1999-05-25 マチス メディツィナルテクニック アクチエンゲゼルシャフト Leg adjustment osteotomy instrument
US5601565A (en) 1995-06-02 1997-02-11 Huebner; Randall J. Osteotomy method and apparatus
USD372309S (en) 1995-07-06 1996-07-30 Zimmer, Inc. Orthopaedic broach impactor
US5601563A (en) 1995-08-25 1997-02-11 Zimmer, Inc. Orthopaedic milling template with attachable cutting guide
US5993448A (en) 1995-10-02 1999-11-30 Remmler; Daniel J. Implantable apparatus, matrix and method for correction of craniofacial bone deformities
US5716361A (en) * 1995-11-02 1998-02-10 Masini; Michael A. Bone cutting guides for use in the implantation of prosthetic joint components
US5662656A (en) * 1995-12-08 1997-09-02 Wright Medical Technology, Inc. Instrumentation and method for distal femoral sizing, and anterior and distal femoral resections
US5682886A (en) * 1995-12-26 1997-11-04 Musculographics Inc Computer-assisted surgical system
US5681354A (en) 1996-02-20 1997-10-28 Board Of Regents, University Of Colorado Asymmetrical femoral component for knee prosthesis
US5683398A (en) 1996-02-20 1997-11-04 Smith & Nephew Inc. Distal femoral cutting block assembly
US5769092A (en) 1996-02-22 1998-06-23 Integrated Surgical Systems, Inc. Computer-aided system for revision total hip replacement surgery
US6814575B2 (en) 1997-02-26 2004-11-09 Technique D'usinage Sinlab Inc. Manufacturing a dental implant drill guide and a dental implant superstructure
US5725376A (en) 1996-02-27 1998-03-10 Poirier; Michel Methods for manufacturing a dental implant drill guide and a dental implant superstructure
US6382975B1 (en) 1997-02-26 2002-05-07 Technique D'usinage Sinlab Inc. Manufacturing a dental implant drill guide and a dental implant superstructure
US5769859A (en) 1996-04-09 1998-06-23 Dorsey; William R. Umbilical scissors
US6126690A (en) 1996-07-03 2000-10-03 The Trustees Of Columbia University In The City Of New York Anatomically correct prosthesis and method and apparatus for manufacturing prosthesis
US5964808A (en) 1996-07-11 1999-10-12 Wright Medical Technology, Inc. Knee prosthesis
GB2318058B (en) 1996-09-25 2001-03-21 Ninian Spenceley Peckitt Improvements relating to prosthetic implants
JP3590216B2 (en) 1996-09-25 2004-11-17 富士写真フイルム株式会社 Method and apparatus for detecting abnormal shadow candidate
US5762125A (en) 1996-09-30 1998-06-09 Johnson & Johnson Professional, Inc. Custom bioimplantable article
US5824085A (en) 1996-09-30 1998-10-20 Integrated Surgical Systems, Inc. System and method for cavity generation for surgical planning and initial placement of a bone prosthesis
US5824100A (en) 1996-10-30 1998-10-20 Osteonics Corp. Knee prosthesis with increased balance and reduced bearing stress
US6343987B2 (en) * 1996-11-07 2002-02-05 Kabushiki Kaisha Sega Enterprises Image processing device, image processing method and recording medium
US5810830A (en) * 1996-11-13 1998-09-22 Howmedica Inc. Machining assembly and methods for preparing the medullary cavity of a femur in hip arthroplasty
US8083745B2 (en) 2001-05-25 2011-12-27 Conformis, Inc. Surgical tools for arthroplasty
US8735773B2 (en) 2007-02-14 2014-05-27 Conformis, Inc. Implant device and method for manufacture
US7534263B2 (en) 2001-05-25 2009-05-19 Conformis, Inc. Surgical tools facilitating increased accuracy, speed and simplicity in performing joint arthroplasty
US8882847B2 (en) 2001-05-25 2014-11-11 Conformis, Inc. Patient selectable knee joint arthroplasty devices
US8556983B2 (en) 2001-05-25 2013-10-15 Conformis, Inc. Patient-adapted and improved orthopedic implants, designs and related tools
US6463351B1 (en) 1997-01-08 2002-10-08 Clynch Technologies, Inc. Method for producing custom fitted medical devices
US7468075B2 (en) 2001-05-25 2008-12-23 Conformis, Inc. Methods and compositions for articular repair
US9603711B2 (en) 2001-05-25 2017-03-28 Conformis, Inc. Patient-adapted and improved articular implants, designs and related guide tools
US20090222103A1 (en) 2001-05-25 2009-09-03 Conformis, Inc. Articular Implants Providing Lower Adjacent Cartilage Wear
US7618451B2 (en) 2001-05-25 2009-11-17 Conformis, Inc. Patient selectable joint arthroplasty devices and surgical tools facilitating increased accuracy, speed and simplicity in performing total and partial joint arthroplasty
US8480754B2 (en) 2001-05-25 2013-07-09 Conformis, Inc. Patient-adapted and improved articular implants, designs and related guide tools
US20070233269A1 (en) 2001-05-25 2007-10-04 Conformis, Inc. Interpositional Joint Implant
US8545569B2 (en) 2001-05-25 2013-10-01 Conformis, Inc. Patient selectable knee arthroplasty devices
JP2001509053A (en) 1997-01-28 2001-07-10 ニューヨーク ソサイエティ フォア ザ リリーフ オブ ザ ラプチャード アンド クリップルド メインティニング ザ ホスピタル フォア スペシャル サージャリー Femoral bone resection method and device
US5735856A (en) 1997-01-31 1998-04-07 Johnson & Johnson Professional, Inc. Orthopedic cutting guide and bushing
US5824111A (en) 1997-01-31 1998-10-20 Prosthetic Design, Inc. Method for fabricating a prosthetic limb socket
US6090114A (en) 1997-02-10 2000-07-18 Stryker Howmedica Osteonics Corp. Tibial plateau resection guide
US6205411B1 (en) * 1997-02-21 2001-03-20 Carnegie Mellon University Computer-assisted surgery planner and intra-operative guidance system
US5880976A (en) 1997-02-21 1999-03-09 Carnegie Mellon University Apparatus and method for facilitating the implantation of artificial components in joints
DE29704393U1 (en) 1997-03-11 1997-07-17 Aesculap Ag, 78532 Tuttlingen Device for preoperative determination of the position data of endoprosthesis parts
GB2323034B (en) * 1997-03-13 2001-07-25 Zimmer Ltd Prosthesis for knee replacement
CA2201800C (en) 1997-04-04 2003-01-28 Brian Kelly Method and apparatus for locating transepicondylar line in a joint that defines transverse action for a motion
USD398058S (en) 1997-06-27 1998-09-08 Collier Milo S Prosthetic brace
US5860980A (en) 1997-09-15 1999-01-19 Axelson, Jr.; Stuart L. Surgical apparatus for use in total knee arthroplasty and surgical methods for using said apparatus
US6488687B1 (en) 1997-09-18 2002-12-03 Medidea, Llc Joint replacement method and apparatus
JPH11178837A (en) 1997-10-06 1999-07-06 General Electric Co <Ge> Reference structure constitution system and reference structure assembly
US6161080A (en) 1997-11-17 2000-12-12 The Trustees Of Columbia University In The City Of New York Three dimensional multibody modeling of anatomical joints
US5967777A (en) 1997-11-24 1999-10-19 Klein; Michael Surgical template assembly and method for drilling and installing dental implants
EP0943297B1 (en) * 1998-02-11 2000-03-08 PLUS Endoprothetik AG Femoral part for a hip joint prosthesis
US6171340B1 (en) 1998-02-27 2001-01-09 Mcdowell Charles L. Method and device for regenerating cartilage in articulating joints
EP1079756B1 (en) 1998-05-28 2004-08-04 Orthosoft, Inc. Interactive computer-assisted surgical system
US6327491B1 (en) 1998-07-06 2001-12-04 Neutar, Llc Customized surgical fixture
US7239908B1 (en) 1998-09-14 2007-07-03 The Board Of Trustees Of The Leland Stanford Junior University Assessing the condition of a joint and devising treatment
WO2000035346A2 (en) 1998-09-14 2000-06-22 Stanford University Assessing the condition of a joint and preventing damage
US6033415A (en) 1998-09-14 2000-03-07 Integrated Surgical Systems System and method for performing image directed robotic orthopaedic procedures without a fiducial reference system
US7184814B2 (en) * 1998-09-14 2007-02-27 The Board Of Trustees Of The Leland Stanford Junior University Assessing the condition of a joint and assessing cartilage loss
US6096043A (en) 1998-12-18 2000-08-01 Depuy Orthopaedics, Inc. Epicondylar axis alignment-femoral positioning drill guide
US6106529A (en) * 1998-12-18 2000-08-22 Johnson & Johnson Professional, Inc. Epicondylar axis referencing drill guide
US6285902B1 (en) 1999-02-10 2001-09-04 Surgical Insights, Inc. Computer assisted targeting device for use in orthopaedic surgery
CA2367271C (en) 1999-03-17 2008-12-16 Synthes (U.S.A.) System and method for ligament graft placement
US6470207B1 (en) 1999-03-23 2002-10-22 Surgical Navigation Technologies, Inc. Navigational guidance via computer-assisted fluoroscopic imaging
US6272340B1 (en) * 1999-03-24 2001-08-07 Trw Inc. Load shedding method to enhance uplink margin with combined FDMA/TDMA uplinks
DE19922279A1 (en) 1999-05-11 2000-11-16 Friedrich Schiller Uni Jena Bu Procedure for generating patient-specific implants
EP1059153A3 (en) 1999-06-09 2003-02-26 MERCK PATENT GmbH Manufacturing mould for bone replacement implants
US6228121B1 (en) * 1999-06-21 2001-05-08 Depuy Othopedics, Inc. Prosthesis system and method of implanting
US6415171B1 (en) 1999-07-16 2002-07-02 International Business Machines Corporation System and method for fusing three-dimensional shape data on distorted images without correcting for distortion
US8781557B2 (en) 1999-08-11 2014-07-15 Osteoplastics, Llc Producing a three dimensional model of an implant
RU2305864C2 (en) 1999-08-23 2007-09-10 ВИЛЛЕ Джеймс А. СТ. System and manufacturing method
JP2001092950A (en) * 1999-09-24 2001-04-06 Ngk Spark Plug Co Ltd Prosthetic artificial bone design system and production of prosthetic artificial bone using the same
AU2621601A (en) 1999-11-03 2001-05-14 Case Western Reserve University System and method for producing a three-dimensional model
US6702821B2 (en) 2000-01-14 2004-03-09 The Bonutti 2003 Trust A Instrumentation for minimally invasive joint replacement and methods for using same
US7635390B1 (en) 2000-01-14 2009-12-22 Marctec, Llc Joint replacement component having a modular articulating surface
US7373286B2 (en) 2000-02-17 2008-05-13 Align Technology, Inc. Efficient data representation of teeth model
EP1263331B1 (en) 2000-03-10 2015-09-16 Smith & Nephew, Inc. Apparatus for use in arthroplasty on a knee joint
US7682398B2 (en) * 2000-03-14 2010-03-23 Smith & Nephew, Inc. Variable geometry rim surface acetabular shell liner
CN1208033C (en) 2000-03-14 2005-06-29 史密夫和内修有限公司 Variable geometry rim surface acetabular shell liner
US6712856B1 (en) 2000-03-17 2004-03-30 Kinamed, Inc. Custom replacement device for resurfacing a femur and method of making the same
US6772026B2 (en) 2000-04-05 2004-08-03 Therics, Inc. System and method for rapidly customizing design, manufacture and/or selection of biomedical devices
US6701174B1 (en) * 2000-04-07 2004-03-02 Carnegie Mellon University Computer-aided bone distraction
US6711432B1 (en) * 2000-10-23 2004-03-23 Carnegie Mellon University Computer-aided orthopedic surgery
SG92703A1 (en) 2000-05-10 2002-11-19 Nanyang Polytechnic Method of producing profiled sheets as prosthesis
CA2416139C (en) * 2000-07-06 2009-03-31 Synthes (U.S.A.) Method and device for impingement detection
US6799066B2 (en) * 2000-09-14 2004-09-28 The Board Of Trustees Of The Leland Stanford Junior University Technique for manipulating medical images
DE60109541T2 (en) 2000-09-18 2006-02-16 Fuji Photo Film Co., Ltd., Minami-Ashigara System for selecting, displaying and storing artificial bone templates and record carriers therefor
FR2816200A1 (en) 2000-11-06 2002-05-10 Praxim DETERMINING THE POSITION OF A KNEE PROSTHESIS
US6510334B1 (en) 2000-11-14 2003-01-21 Luis Schuster Method of producing an endoprosthesis as a joint substitute for a knee joint
US6558426B1 (en) 2000-11-28 2003-05-06 Medidea, Llc Multiple-cam, posterior-stabilized knee prosthesis
US6589281B2 (en) * 2001-01-16 2003-07-08 Edward R. Hyde, Jr. Transosseous core approach and instrumentation for joint replacement and repair
US20040102866A1 (en) * 2001-01-29 2004-05-27 Harris Simon James Modelling for surgery
US6458135B1 (en) 2001-02-02 2002-10-01 Howmedica Osteonics Corp. Femoral guide for implanting a femoral knee prosthesis and method
US6514259B2 (en) 2001-02-02 2003-02-04 Carnegie Mellon University Probe and associated system and method for facilitating planar osteotomy during arthoplasty
US7630750B2 (en) 2001-02-05 2009-12-08 The Research Foundation For The State University Of New York Computer aided treatment planning
DE60232316D1 (en) 2001-02-27 2009-06-25 Smith & Nephew Inc DEVICE FOR TOTAL KNEE CONSTRUCTION
US20050113846A1 (en) * 2001-02-27 2005-05-26 Carson Christopher P. Surgical navigation systems and processes for unicompartmental knee arthroplasty
US7547307B2 (en) 2001-02-27 2009-06-16 Smith & Nephew, Inc. Computer assisted knee arthroplasty instrumentation, systems, and processes
US6672870B2 (en) 2001-03-20 2004-01-06 John G. Knapp Method and instrumentation for attaching dentures
US6975894B2 (en) 2001-04-12 2005-12-13 Trustees Of The University Of Pennsylvania Digital topological analysis of trabecular bone MR images and prediction of osteoporosis fractures
US20020160337A1 (en) 2001-04-30 2002-10-31 Michael Klein Method of using computer data to modify or alter an existing cast or model
EP1389980B1 (en) 2001-05-25 2011-04-06 Conformis, Inc. Methods and compositions for articular resurfacing
US8439926B2 (en) 2001-05-25 2013-05-14 Conformis, Inc. Patient selectable joint arthroplasty devices and surgical tools
US20070083266A1 (en) 2001-05-25 2007-04-12 Vertegen, Inc. Devices and methods for treating facet joints, uncovertebral joints, costovertebral joints and other joints
US6554838B2 (en) 2001-05-31 2003-04-29 Howmedica Osteonics Corp. Method and apparatus for implanting a prosthetic device
US7607440B2 (en) 2001-06-07 2009-10-27 Intuitive Surgical, Inc. Methods and apparatus for surgical planning
GB0114271D0 (en) 2001-06-12 2001-08-01 Univ Manchester Parameterisation
JP2002371244A (en) * 2001-06-14 2002-12-26 Kusumoto Kasei Kk Smoothing agent for aqueous coating material
US20070173858A1 (en) * 2001-06-14 2007-07-26 Alexandria Research Technologies, Llc Apparatus and Method for Sculpting the Surface of a Joint
GB0114659D0 (en) * 2001-06-15 2001-08-08 Finsbury Dev Ltd Device
US7174282B2 (en) 2001-06-22 2007-02-06 Scott J Hollister Design methodology for tissue engineering scaffolds and biomaterial implants
US7618421B2 (en) 2001-10-10 2009-11-17 Howmedica Osteonics Corp. Tools for femoral resection in knee surgery
AUPR865701A0 (en) 2001-11-02 2001-11-29 Egan, Michael Surgical apparatus and surgical methods
FR2831794B1 (en) 2001-11-05 2004-02-13 Depuy France METHOD FOR SELECTING KNEE PROSTHESIS ELEMENTS AND DEVICE FOR IMPLEMENTING SAME
JP2003144454A (en) 2001-11-16 2003-05-20 Yoshio Koga Joint operation support information computing method, joint operation support information computing program, and joint operation support information computing system
US7141053B2 (en) 2001-11-28 2006-11-28 Wright Medical Technology, Inc. Methods of minimally invasive unicompartmental knee replacement
AU2002348204A1 (en) * 2001-11-28 2003-06-10 Wright Medical Technology, Inc. Instrumentation for minimally invasive unicompartmental knee replacement
USD473307S1 (en) 2001-12-19 2003-04-15 T. Derek V. Cooke Knee prosthesis
SE520765C2 (en) 2001-12-28 2003-08-19 Nobel Biocare Ab Device and arrangement for inserting holes for bone implants by means of template, preferably jawbones
CN2519658Y (en) 2001-12-29 2002-11-06 上海复升医疗器械有限公司 Apparatus for installing femur neck protector
US7715602B2 (en) 2002-01-18 2010-05-11 Orthosoft Inc. Method and apparatus for reconstructing bone surfaces during surgery
JP3721333B2 (en) * 2002-01-17 2005-11-30 株式会社アイディエス Test tube holder
US7090677B2 (en) * 2002-02-12 2006-08-15 Medicine Lodge, Inc. Surgical milling instrument for shaping a bone cavity
US7634306B2 (en) 2002-02-13 2009-12-15 Kinamed, Inc. Non-image, computer assisted navigation system for joint replacement surgery with modular implant system
US6711431B2 (en) 2002-02-13 2004-03-23 Kinamed, Inc. Non-imaging, computer assisted navigation system for hip replacement surgery
US6942475B2 (en) 2002-03-13 2005-09-13 Ortho Development Corporation Disposable knee mold
US7275218B2 (en) 2002-03-29 2007-09-25 Depuy Products, Inc. Method, apparatus, and program for analyzing a prosthetic device
US7787932B2 (en) 2002-04-26 2010-08-31 Brainlab Ag Planning and navigation assistance using two-dimensionally adapted generic and detected patient data
US6757582B2 (en) 2002-05-03 2004-06-29 Carnegie Mellon University Methods and systems to control a shaping tool
US8801720B2 (en) 2002-05-15 2014-08-12 Otismed Corporation Total joint arthroplasty system
US20100036252A1 (en) 2002-06-07 2010-02-11 Vikram Chalana Ultrasound system and method for measuring bladder wall thickness and mass
AU2003268066A1 (en) 2002-08-09 2004-02-25 Kinamed, Inc. Non-imaging tracking tools and method for hip replacement surgery
AU2003257339A1 (en) 2002-08-26 2004-03-11 Orthosoft Inc. Computer aided surgery system and method for placing multiple implants
US7359746B2 (en) 2002-09-09 2008-04-15 Z-Kat, Inc. Image guided interventional method and apparatus
GB2393625C (en) 2002-09-26 2004-08-18 Meridian Tech Ltd Orthopaedic surgery planning
US8086336B2 (en) 2002-09-30 2011-12-27 Medical Modeling Inc. Method for design and production of a custom-fit prosthesis
US6978188B1 (en) 2002-09-30 2005-12-20 Medical Modeling, Llc Method for contouring bone reconstruction plates
ATE497740T1 (en) * 2002-10-07 2011-02-15 Conformis Inc MINIMALLY INVASIVE JOINT IMPLANT WITH A THREE-DIMENSIONAL GEOMETRY ADAPTED TO THE JOINT SURFACES
JP2004160642A (en) 2002-10-22 2004-06-10 Sankyo Mfg Co Ltd Inclining and rotating table device
CN1780594A (en) * 2002-11-07 2006-05-31 康复米斯公司 Methods for determining meniscal size and shape and for devising treatment
US6770099B2 (en) * 2002-11-19 2004-08-03 Zimmer Technology, Inc. Femoral prosthesis
AU2003294342A1 (en) 2002-11-19 2004-06-15 Acumed Llc Guide system for bone-repair devices
US7094241B2 (en) 2002-11-27 2006-08-22 Zimmer Technology, Inc. Method and apparatus for achieving correct limb alignment in unicondylar knee arthroplasty
KR20050072500A (en) 2002-12-04 2005-07-11 콘포미스 인코퍼레이티드 Fusion of multiple imaging planes for isotropic imaging in mri and quantitative image analysis using isotropic or near-isotropic imaging
US7542791B2 (en) 2003-01-30 2009-06-02 Medtronic Navigation, Inc. Method and apparatus for preplanning a surgical procedure
US7660623B2 (en) * 2003-01-30 2010-02-09 Medtronic Navigation, Inc. Six degree of freedom alignment display for medical procedures
US20040153066A1 (en) 2003-02-03 2004-08-05 Coon Thomas M. Apparatus for knee surgery and method of use
US20040220583A1 (en) 2003-02-04 2004-11-04 Zimmer Technology, Inc. Instrumentation for total knee arthroplasty, and methods of performing same
EP1605810A2 (en) 2003-02-04 2005-12-21 Z-Kat, Inc. Computer-assisted knee replacement apparatus and method
US7172597B2 (en) 2003-02-04 2007-02-06 Zimmer Technology, Inc. Provisional orthopedic implant and recutting instrument guide
EP1615577A2 (en) * 2003-02-04 2006-01-18 Orthosoft, Inc. Cas modular bone reference assembly and limb position measurement system
US20040153087A1 (en) 2003-02-04 2004-08-05 Sanford Adam H. Provisional orthopedic implant with removable guide
US7309339B2 (en) 2003-02-04 2007-12-18 Howmedica Osteonics Corp. Apparatus for aligning an instrument during a surgical procedure
US7235080B2 (en) * 2003-02-20 2007-06-26 Zimmer Technology, Inc. Femoral reference tibial cut guide
US7238190B2 (en) 2003-03-28 2007-07-03 Concepts In Medicine Iii, Llc Surgical apparatus to allow replacement of degenerative ankle tissue
WO2004091419A2 (en) 2003-04-08 2004-10-28 Wasielewski Ray C Use of micro-and miniature position sensing devices for use in tka and tha
US20050054913A1 (en) 2003-05-05 2005-03-10 Duerk Jeffrey L. Adaptive tracking and MRI-guided catheter and stent placement
WO2004110309A2 (en) 2003-06-11 2004-12-23 Case Western Reserve University Computer-aided-design of skeletal implants
GB0313445D0 (en) 2003-06-11 2003-07-16 Midland Medical Technologies L Hip resurfacing
EP1486900A1 (en) 2003-06-12 2004-12-15 Materialise, Naamloze Vennootschap Method and system for manufacturing a surgical guide
US7104997B2 (en) * 2003-06-19 2006-09-12 Lionberger Jr David R Cutting guide apparatus and surgical method for use in knee arthroplasty
US20050065617A1 (en) * 2003-09-05 2005-03-24 Moctezuma De La Barrera Jose Luis System and method of performing ball and socket joint arthroscopy
US6944518B2 (en) * 2003-09-18 2005-09-13 Depuy Products, Inc. Customized prosthesis and method of designing and manufacturing a customized prosthesis by utilizing computed tomography data
AU2004274003A1 (en) 2003-09-19 2005-03-31 Imaging Therapeutics, Inc. Method for bone structure prognosis and simulated bone remodeling
US8290564B2 (en) * 2003-09-19 2012-10-16 Imatx, Inc. Method for bone structure prognosis and simulated bone remodeling
GB0322084D0 (en) 2003-09-22 2003-10-22 Depuy Int Ltd A drill guide assembly
US20070114370A1 (en) 2003-10-10 2007-05-24 Smith Ronald H Fiber optic remote reading encoder
US7166833B2 (en) 2003-10-10 2007-01-23 Optelecom-Nkf Fiber optic remote reading encoder
DE102004045691B4 (en) 2003-10-27 2009-10-01 Siemens Ag Method for generating a homogeneous high-frequency magnetic field in a spatial examination volume of a magnetic resonance system
US7392076B2 (en) * 2003-11-04 2008-06-24 Stryker Leibinger Gmbh & Co. Kg System and method of registering image data to intra-operatively digitized landmarks
EP1691692B1 (en) 2003-11-14 2011-01-19 Smith & Nephew, Inc. Adjustable surgical cutting systems
DE10353913C5 (en) 2003-11-18 2009-03-12 Straelen, Frank van, Dr. Method for producing a navigated drilling template for the introduction of dental implant bores
JP4447015B2 (en) 2003-11-20 2010-04-07 ライト メディカル テクノロジー インコーポレーテッド Guide clamp to guide the placement of the guide wire in the femur
US7393012B2 (en) 2003-11-21 2008-07-01 Calsonic Kansei Corporation Knee bolster structure
US8175683B2 (en) * 2003-12-30 2012-05-08 Depuy Products, Inc. System and method of designing and manufacturing customized instrumentation for accurate implantation of prosthesis by utilizing computed tomography data
US20050149091A1 (en) 2004-01-03 2005-07-07 Linggawati Tanamal Guided osteotomes
WO2005067521A2 (en) 2004-01-12 2005-07-28 Depuy Products, Inc. Systems and methods for compartmental replacement in a knee
US7815645B2 (en) * 2004-01-14 2010-10-19 Hudson Surgical Design, Inc. Methods and apparatus for pinplasty bone resection
US8021368B2 (en) 2004-01-14 2011-09-20 Hudson Surgical Design, Inc. Methods and apparatus for improved cutting tools for resection
USD532515S1 (en) 2004-01-19 2006-11-21 Synthes Usa Basis for surgical aiming device
DE102004009658B4 (en) 2004-02-27 2008-03-27 Siemens Ag Method and device for automatic determination of the sagittal plane
US20050192588A1 (en) * 2004-02-27 2005-09-01 Garcia Daniel X. Instrumentation and method for prosthetic knee
GB0404345D0 (en) 2004-02-27 2004-03-31 Depuy Int Ltd Surgical jig and methods of use
WO2005084541A1 (en) 2004-03-05 2005-09-15 Depuy International Ltd Pelvis registration method and apparatus
US7383164B2 (en) 2004-03-05 2008-06-03 Depuy Products, Inc. System and method for designing a physiometric implant system
US7641660B2 (en) 2004-03-08 2010-01-05 Biomet Manufacturing Corporation Method, apparatus, and system for image guided bone cutting
EP1722705A2 (en) 2004-03-10 2006-11-22 Depuy International Limited Orthopaedic operating systems, methods, implants and instruments
US7177386B2 (en) * 2004-03-15 2007-02-13 Varian Medical Systems Technologies, Inc. Breathing synchronized computed tomography image acquisition
US8262665B2 (en) 2004-03-29 2012-09-11 Massoud Yehia A Surgical guide for use during sinus elevation surgery utilizing the caldwell-luc osteotomy
US7621744B2 (en) 2004-03-29 2009-11-24 Yehia Aly Massoud Surgical guide for use during sinus elevation surgery utilizing the Caldwell-Luc osteotomy
JP2005287813A (en) 2004-03-31 2005-10-20 National Institute Of Advanced Industrial & Technology Optimal shape search system for artificial medical material
US20110071537A1 (en) * 2004-03-31 2011-03-24 Yoshio Koga Intramedullary Rod for Assisting Total Knee Joint Replacing Operation and Method for Controle Operation Using the Rod
EP1588668B1 (en) 2004-04-20 2008-12-10 Finsbury (Development) Limited Alignment guide for use in femoral head surgery
DE602005002175T2 (en) 2004-04-20 2008-05-29 Finsbury (Development) Ltd., Leatherhead alignment guide
FR2869791B1 (en) 2004-05-04 2006-06-09 Obl Sa CUSTOM IMPLANT SURGICAL GUIDE AND ASSOCIATED STRAWBERRY, PROCESS FOR THEIR MANUFACTURE AND USE THEREOF
NO322674B1 (en) * 2004-05-18 2006-11-27 Scandinavian Customized Prosth Patient-adapted cutting template for accurate cutting of the cervix in a total hip replacement surgery
US7340316B2 (en) 2004-06-28 2008-03-04 Hanger Orthopedic Group, Inc. System and method for producing medical devices
US20060015188A1 (en) 2004-07-17 2006-01-19 Nexus Consulting Limited Prosthesis and method of implantation
US8167888B2 (en) * 2004-08-06 2012-05-01 Zimmer Technology, Inc. Tibial spacer blocks and femoral cutting guide
US8046044B2 (en) 2004-08-25 2011-10-25 Washington University Method and apparatus for acquiring overlapped medical image slices
DE102004043057A1 (en) * 2004-09-06 2006-03-30 Siemens Ag Method for the determination of excellent coronal and sagittal planes for the subsequent acquisition of new magnetic resonance tomograms or the display of magnetic resonance tomograms from an already existing image dataset of a knee joint
US7927335B2 (en) 2004-09-27 2011-04-19 Depuy Products, Inc. Instrument for preparing an implant support surface and associated method
US8007448B2 (en) 2004-10-08 2011-08-30 Stryker Leibinger Gmbh & Co. Kg. System and method for performing arthroplasty of a joint and tracking a plumb line plane
US7561757B2 (en) 2004-10-28 2009-07-14 Siemens Medical Solutions Usa, Inc. Image registration using minimum entropic graphs
GB0424375D0 (en) 2004-11-04 2004-12-08 Acrobot Company The Ltd The bounded registration method for model-based minimal-access positional estimation
US7616800B2 (en) 2004-11-08 2009-11-10 The Board Of Trustees Of The Leland Stanford Junior University Polyp identification through subtraction of models of medical images
TWI248353B (en) * 2004-11-23 2006-02-01 Univ Chung Yuan Christian Image analysis method of abnormal hip joint structure
TWI268148B (en) * 2004-11-25 2006-12-11 Univ Chung Yuan Christian Image analysis method for vertebral disease which comprises 3D reconstruction method and characteristic identification method of unaligned transversal slices
GB2420717A (en) * 2004-12-06 2006-06-07 Biomet Uk Ltd Surgical Instrument
ATE422847T1 (en) 2004-12-08 2009-03-15 Perception Raisonnement Action DEVICE FOR POSITIONING A BONE CUT GUIDE
CN101083944B (en) 2004-12-21 2013-01-02 史密夫和内修有限公司 Distal femoral trial with removable cutting guide
US20060155293A1 (en) * 2005-01-07 2006-07-13 Zimmer Technology External rotation cut guide
US20060155294A1 (en) * 2005-01-11 2006-07-13 Zimmer Technology, Inc. Tibial/femoral recutter with paddle
US20060161167A1 (en) 2005-01-18 2006-07-20 Reese Myers Acetabular instrument alignment guide
GB0504172D0 (en) 2005-03-01 2005-04-06 King S College London Surgical planning
US7642781B2 (en) 2005-04-15 2010-01-05 Cornell Research Foundation, Inc. High-pass two-dimensional ladder network resonator
JP2008539885A (en) 2005-05-02 2008-11-20 スミス アンド ネフュー インコーポレーテッド System and method for determining tibial rotation
DE102005023028A1 (en) 2005-05-13 2006-11-16 Frank, Elmar, Dr. Medical template e.g. for implantation guide, has template base and guides for hole or implant with guides connected to template base and secured against unintentional distance of template base
WO2006127486A2 (en) 2005-05-20 2006-11-30 Smith & Nephew, Inc. Patello-femoral joint implant and instrumentation
US7469159B2 (en) 2005-05-26 2008-12-23 The Mcw Research Foundation, Inc. Method for measuring neurovascular uncoupling in fMRI
US7621920B2 (en) 2005-06-13 2009-11-24 Zimmer, Inc. Adjustable cut guide
GB0511847D0 (en) 2005-06-13 2005-07-20 Smith & Nephew Medical apparatus
US7658741B2 (en) * 2005-06-16 2010-02-09 Zimmer, Inc. Multi-positionable cut guide
US20070038059A1 (en) 2005-07-07 2007-02-15 Garrett Sheffer Implant and instrument morphing
US20070021838A1 (en) 2005-07-22 2007-01-25 Dugas Jeffrey R Site specific minimally invasive joint implants
WO2007020598A2 (en) 2005-08-17 2007-02-22 Koninklijke Philips Electronics N.V. Method and apparatus featuring simple click style interactions according to a clinical task workflow
US20070055268A1 (en) * 2005-08-17 2007-03-08 Aesculap Ag & Co. Kg Cutting blocks for a surgical procedure and methods for using cutting blocks
US7643862B2 (en) 2005-09-15 2010-01-05 Biomet Manufacturing Corporation Virtual mouse for use in surgical navigation
US20070066917A1 (en) 2005-09-20 2007-03-22 Hodorek Robert A Method for simulating prosthetic implant selection and placement
EP1928359A4 (en) 2005-09-30 2010-10-13 Conformis Inc Joint arthroplasty devices
US8257083B2 (en) 2005-10-24 2012-09-04 Biomet 3I, Llc Methods for placing an implant analog in a physical model of the patient's mouth
US20070123856A1 (en) 2005-10-27 2007-05-31 Deffenbaugh Daren L Trauma joint, external fixator and associated method
US20070123857A1 (en) 2005-10-27 2007-05-31 Deffenbaugh Daren L Orthopaedic joint, device and associated method
US20070100338A1 (en) 2005-10-27 2007-05-03 Deffenbaugh Daren L Orthopaedic instrument joint, instrument and associated method
US20070118055A1 (en) 2005-11-04 2007-05-24 Smith & Nephew, Inc. Systems and methods for facilitating surgical procedures involving custom medical implants
US7894650B2 (en) * 2005-11-10 2011-02-22 Microsoft Corporation Discover biological features using composite images
WO2007058632A1 (en) 2005-11-21 2007-05-24 Agency For Science, Technology And Research Superimposing brain atlas images and brain images with delineation of infarct and penumbra for stroke diagnosis
US8538508B2 (en) * 2005-12-09 2013-09-17 Siemens Aktiengesellschaft Method and apparatus for ECG-synchronized optically-based image acquisition and transformation
GB0525637D0 (en) * 2005-12-16 2006-01-25 Finsbury Dev Ltd Tool
US20070237372A1 (en) 2005-12-29 2007-10-11 Shoupu Chen Cross-time and cross-modality inspection for medical image diagnosis
US20070173853A1 (en) 2006-01-11 2007-07-26 University Of Florida Research Foundation, Inc. System and Method for Centering Surgical Cutting Tools About the Spinous Process or Other Bone Structure
US8038683B2 (en) 2006-01-25 2011-10-18 Orthosoft Inc. CAS system for condyle measurement
GB0601803D0 (en) 2006-01-30 2006-03-08 Finsbury Dev Ltd Tool
US8500740B2 (en) 2006-02-06 2013-08-06 Conformis, Inc. Patient-specific joint arthroplasty devices for ligament repair
US8623026B2 (en) 2006-02-06 2014-01-07 Conformis, Inc. Patient selectable joint arthroplasty devices and surgical tools incorporating anatomical relief
TW200730138A (en) * 2006-02-15 2007-08-16 Univ Chung Yuan Christian Image analysis methods for gleno-humeral joint morphology
US9808262B2 (en) 2006-02-15 2017-11-07 Howmedica Osteonics Corporation Arthroplasty devices and related methods
US8473305B2 (en) 2007-04-17 2013-06-25 Biomet Manufacturing Corp. Method and apparatus for manufacturing an implant
US8241293B2 (en) 2006-02-27 2012-08-14 Biomet Manufacturing Corp. Patient specific high tibia osteotomy
US20110190899A1 (en) 2006-02-27 2011-08-04 Biomet Manufacturing Corp. Patient-specific augments
US20110172672A1 (en) 2006-02-27 2011-07-14 Biomet Manufacturing Corp. Instrument with transparent portion for use with patient-specific alignment guide
US8377066B2 (en) 2006-02-27 2013-02-19 Biomet Manufacturing Corp. Patient-specific elbow guides and associated methods
US8298237B2 (en) 2006-06-09 2012-10-30 Biomet Manufacturing Corp. Patient-specific alignment guide for multiple incisions
US8070752B2 (en) 2006-02-27 2011-12-06 Biomet Manufacturing Corp. Patient specific alignment guide and inter-operative adjustment
US7780672B2 (en) 2006-02-27 2010-08-24 Biomet Manufacturing Corp. Femoral adjustment device and associated method
US9173661B2 (en) 2006-02-27 2015-11-03 Biomet Manufacturing, Llc Patient specific alignment guide with cutting surface and laser indicator
US8858561B2 (en) 2006-06-09 2014-10-14 Blomet Manufacturing, LLC Patient-specific alignment guide
US20080257363A1 (en) 2007-04-17 2008-10-23 Biomet Manufacturing Corp. Method And Apparatus For Manufacturing An Implant
US8864769B2 (en) 2006-02-27 2014-10-21 Biomet Manufacturing, Llc Alignment guides with patient-specific anchoring elements
US20110046735A1 (en) 2006-02-27 2011-02-24 Biomet Manufacturing Corp. Patient-Specific Implants
US8608748B2 (en) 2006-02-27 2013-12-17 Biomet Manufacturing, Llc Patient specific guides
US9730616B2 (en) 2008-10-22 2017-08-15 Biomet Manufacturing, Llc Mechanical axis alignment using MRI imaging
US8591516B2 (en) 2006-02-27 2013-11-26 Biomet Manufacturing, Llc Patient-specific orthopedic instruments
US8407067B2 (en) 2007-04-17 2013-03-26 Biomet Manufacturing Corp. Method and apparatus for manufacturing an implant
US10278711B2 (en) 2006-02-27 2019-05-07 Biomet Manufacturing, Llc Patient-specific femoral guide
US8092465B2 (en) 2006-06-09 2012-01-10 Biomet Manufacturing Corp. Patient specific knee alignment guide and associated method
US9345548B2 (en) 2006-02-27 2016-05-24 Biomet Manufacturing, Llc Patient-specific pre-operative planning
US9907659B2 (en) 2007-04-17 2018-03-06 Biomet Manufacturing, Llc Method and apparatus for manufacturing an implant
US8133234B2 (en) 2006-02-27 2012-03-13 Biomet Manufacturing Corp. Patient specific acetabular guide and method
US7967868B2 (en) 2007-04-17 2011-06-28 Biomet Manufacturing Corp. Patient-modified implant and associated method
US8282646B2 (en) 2006-02-27 2012-10-09 Biomet Manufacturing Corp. Patient specific knee alignment guide and associated method
US8702714B2 (en) * 2006-03-09 2014-04-22 Microsoft Orthopedics Holdings Inc. Instruments for total knee arthroplasty
AU2006339993A1 (en) 2006-03-14 2007-09-20 Mako Surgical Corp. Prosthetic device and system and method for implanting prosthetic device
JP5407014B2 (en) 2006-03-17 2014-02-05 ジンマー,インコーポレイティド A method for determining the contour of the surface of the bone to be excised and evaluating the fit of the prosthesis to the bone
US7949386B2 (en) 2006-03-21 2011-05-24 A2 Surgical Computer-aided osteoplasty surgery system
US8165659B2 (en) 2006-03-22 2012-04-24 Garrett Sheffer Modeling method and apparatus for use in surgical navigation
WO2007137327A1 (en) 2006-05-26 2007-12-06 Ellysian Ltd Hip resurfacing clamp
US7695520B2 (en) 2006-05-31 2010-04-13 Biomet Manufacturing Corp. Prosthesis and implementation system
AU2007345301A1 (en) 2006-06-12 2008-07-31 Smith And Nephew Inc Systems, methods and devices for tibial resection
WO2007147235A1 (en) 2006-06-19 2007-12-27 Igo Technologies Inc. Joint placement methods and apparatuses
US7678115B2 (en) * 2006-06-21 2010-03-16 Howmedia Osteonics Corp. Unicondylar knee implants and insertion methods therefor
US20080015602A1 (en) * 2006-06-22 2008-01-17 Howmedica Osteonics Corp. Cutting block for bone resection
US7686812B2 (en) * 2006-06-30 2010-03-30 Howmedica Osteonics Corp. Method for setting the rotational position of a femoral component
US20080021567A1 (en) 2006-07-18 2008-01-24 Zimmer Technology, Inc. Modular orthopaedic component case
US20080021299A1 (en) 2006-07-18 2008-01-24 Meulink Steven L Method for selecting modular implant components
EP1915970A1 (en) 2006-07-20 2008-04-30 René De Clerck Jig for positioning dental implants
WO2008014618A1 (en) 2006-08-03 2008-02-07 Orthosoft Inc. Computer-assisted surgery tools and system
DE502006002892D1 (en) 2006-08-14 2009-04-02 Brainlab Ag Registration of MR data using generic models
US20120150243A9 (en) 2006-08-31 2012-06-14 Catholic Healthcare West (Chw) Computerized Planning Tool For Spine Surgery and Method and Device for Creating a Customized Guide for Implantations
WO2008034101A2 (en) 2006-09-15 2008-03-20 Imaging Therapeutics, Inc. Method and system for providing fracture/no fracture classification
US8331634B2 (en) 2006-09-26 2012-12-11 Siemens Aktiengesellschaft Method for virtual adaptation of an implant to a body part of a patient
TWI344025B (en) 2006-10-11 2011-06-21 Chunghwa Picture Tubes Ltd Pixel structure and repair method thereof
US20080089591A1 (en) 2006-10-11 2008-04-17 Hui Zhou Method And Apparatus For Automatic Image Categorization
US7940974B2 (en) * 2006-11-21 2011-05-10 General Electric Company Method and system for adjusting 3D CT vessel segmentation
US8214016B2 (en) 2006-12-12 2012-07-03 Perception Raisonnement Action En Medecine System and method for determining an optimal type and position of an implant
US8460302B2 (en) 2006-12-18 2013-06-11 Otismed Corporation Arthroplasty devices and related methods
US8187280B2 (en) 2007-10-10 2012-05-29 Biomet Manufacturing Corp. Knee joint prosthesis system and method for implantation
US8313530B2 (en) 2007-02-12 2012-11-20 Jmea Corporation Total knee arthroplasty system
CN101610731A (en) 2007-02-14 2009-12-23 史密夫和内修有限公司 Computer-assisted surgical method and system for bicompartmental knee replacement
GB2447702A (en) 2007-03-23 2008-09-24 Univ Leeds Surgical bone cutting template
US8224127B2 (en) 2007-05-02 2012-07-17 The Mitre Corporation Synthesis of databases of realistic, biologically-based 2-D images
US8444651B2 (en) 2007-05-14 2013-05-21 Queen's University At Kingston Patient-specific surgical guidance tool and method of use
US8206153B2 (en) 2007-05-18 2012-06-26 Biomet 3I, Inc. Method for selecting implant components
WO2008157412A2 (en) 2007-06-13 2008-12-24 Conformis, Inc. Surgical cutting guide
DE502007002416D1 (en) 2007-06-15 2010-02-04 Brainlab Ag Computer-assisted joint analysis with surface projection
US20080319491A1 (en) 2007-06-19 2008-12-25 Ryan Schoenefeld Patient-matched surgical component and methods of use
GB0712290D0 (en) 2007-06-25 2007-08-01 Depuy Orthopaedie Gmbh Surgical instrument
WO2009025783A1 (en) 2007-08-17 2009-02-26 Mohamed Rashwan Mahfouz Implant design analysis suite
US8486079B2 (en) 2007-09-11 2013-07-16 Zimmer, Inc. Method and apparatus for remote alignment of a cut guide
US8265949B2 (en) 2007-09-27 2012-09-11 Depuy Products, Inc. Customized patient surgical plan
JP5171193B2 (en) 2007-09-28 2013-03-27 株式会社 レキシー Program for preoperative planning of knee replacement surgery
US8357111B2 (en) 2007-09-30 2013-01-22 Depuy Products, Inc. Method and system for designing patient-specific orthopaedic surgical instruments
EP2959848B1 (en) 2007-09-30 2019-04-17 DePuy Products, Inc. Customized patient-specific orthopaedic surgical instrumentation
DE102007047023A1 (en) 2007-10-01 2009-01-22 Siemens Ag Magnetic resonance apparatus, with a scanning tunnel for the patient, has a shim iron to act on the main magnet generating the static magnetic field
USD642263S1 (en) 2007-10-25 2011-07-26 Otismed Corporation Arthroplasty jig blank
US8460303B2 (en) 2007-10-25 2013-06-11 Otismed Corporation Arthroplasty systems and devices, and related methods
US10582934B2 (en) 2007-11-27 2020-03-10 Howmedica Osteonics Corporation Generating MRI images usable for the creation of 3D bone models employed to make customized arthroplasty jigs
AU2008335328B2 (en) 2007-12-06 2014-11-27 Smith & Nephew, Inc. Systems and methods for determining the mechanical axis of a femur
WO2009075562A1 (en) 2007-12-11 2009-06-18 Universiti Malaya Process to design and fabricate a custom-fit implant
US8737700B2 (en) 2007-12-18 2014-05-27 Otismed Corporation Preoperatively planning an arthroplasty procedure and generating a corresponding patient specific arthroplasty resection guide
US8480679B2 (en) 2008-04-29 2013-07-09 Otismed Corporation Generation of a computerized bone model representative of a pre-degenerated state and useable in the design and manufacture of arthroplasty devices
US8221430B2 (en) 2007-12-18 2012-07-17 Otismed Corporation System and method for manufacturing arthroplasty jigs
US8160345B2 (en) * 2008-04-30 2012-04-17 Otismed Corporation System and method for image segmentation in generating computer models of a joint to undergo arthroplasty
US8311306B2 (en) 2008-04-30 2012-11-13 Otismed Corporation System and method for image segmentation in generating computer models of a joint to undergo arthroplasty
US8617171B2 (en) 2007-12-18 2013-12-31 Otismed Corporation Preoperatively planning an arthroplasty procedure and generating a corresponding patient specific arthroplasty resection guide
US8545509B2 (en) 2007-12-18 2013-10-01 Otismed Corporation Arthroplasty system and related methods
US8715291B2 (en) 2007-12-18 2014-05-06 Otismed Corporation Arthroplasty system and related methods
US8777875B2 (en) 2008-07-23 2014-07-15 Otismed Corporation System and method for manufacturing arthroplasty jigs having improved mating accuracy
CA2713861A1 (en) 2008-02-04 2009-08-13 Iain Alexander Anderson Integrated-model musculoskeletal therapies
WO2009105665A1 (en) 2008-02-20 2009-08-27 Mako Surgical Corp. Implant planning using corrected captured joint motion information
US8734455B2 (en) 2008-02-29 2014-05-27 Otismed Corporation Hip resurfacing surgical guide tool
ES2649813T3 (en) 2008-03-03 2018-01-15 Smith & Nephew, Inc. Specific low profile patient cutting blocks for a knee joint
WO2009111626A2 (en) 2008-03-05 2009-09-11 Conformis, Inc. Implants for altering wear patterns of articular surfaces
EP2901969B1 (en) 2008-03-05 2018-07-04 ConforMIS, Inc. Method of making an edge-matched articular implant
AU2009227957B2 (en) 2008-03-25 2014-07-10 Orthosoft Ulc Method and system for planning/guiding alterations to a bone
US8016884B2 (en) 2008-04-09 2011-09-13 Active Implants Corporation Tensioned meniscus prosthetic devices and associated methods
US8377073B2 (en) 2008-04-21 2013-02-19 Ray Wasielewski Method of designing orthopedic implants using in vivo data
EP2303193A4 (en) 2008-05-12 2012-03-21 Conformis Inc Devices and methods for treatment of facet and other joints
EP2119409B1 (en) 2008-05-15 2012-10-10 BrainLAB AG Joint reconstruction plan with model data
US8206396B2 (en) 2008-07-21 2012-06-26 Harutaro Trabish Femoral head surgical resurfacing aid
US8617175B2 (en) 2008-12-16 2013-12-31 Otismed Corporation Unicompartmental customized arthroplasty cutting jigs and methods of making the same
US20170209219A1 (en) 2008-07-23 2017-07-27 Howmedica Osteonics Corporation Knee arthroplasty procedures
US8126234B1 (en) 2008-07-25 2012-02-28 O.N.Diagnostics, LLC Automated patient-specific bone-implant biomechanical analysis
US9364291B2 (en) 2008-12-11 2016-06-14 Mako Surgical Corp. Implant planning using areas representing cartilage
USD622854S1 (en) 2008-12-19 2010-08-31 Mako Surgical Corp. Patellofemoral implant
USD619718S1 (en) 2009-01-07 2010-07-13 Jamy Gannoe Trapezium prosthesis
US8170641B2 (en) 2009-02-20 2012-05-01 Biomet Manufacturing Corp. Method of imaging an extremity of a patient
EP2405865B1 (en) 2009-02-24 2019-04-17 ConforMIS, Inc. Automated systems for manufacturing patient-specific orthopedic implants and instrumentation
US20110190775A1 (en) 2010-02-02 2011-08-04 Ure Keith J Device and method for achieving accurate positioning of acetabular cup during total hip replacement
US20100274253A1 (en) 2009-04-23 2010-10-28 Ure Keith J Device and method for achieving accurate positioning of acetabular cup during total hip replacement
USD618796S1 (en) 2009-07-28 2010-06-29 Vertos Medical, Inc. Lockable articulating base plate
USD626234S1 (en) 2009-11-24 2010-10-26 Mako Surgical Corp. Tibial implant
AU2010327987B2 (en) 2009-12-11 2015-04-02 Conformis, Inc. Patient-specific and patient-engineered orthopedic implants
US8632547B2 (en) 2010-02-26 2014-01-21 Biomet Sports Medicine, Llc Patient-specific osteotomy devices and methods

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070276224A1 (en) * 1998-09-14 2007-11-29 The Board Of Trustees Of The Leland Stanford Junior University Assessing the Condition of a Joint and Devising Treatment
US7029479B2 (en) * 2000-05-01 2006-04-18 Arthrosurface, Inc. System and method for joint resurface repair
US20070198022A1 (en) 2001-05-25 2007-08-23 Conformis, Inc. Patient Selectable Joint Arthroplasty Devices and Surgical Tools
US20050259882A1 (en) * 2004-05-18 2005-11-24 Agfa-Gevaert N.V. Method for automatically mapping of geometric objects in digital medical images
US20070118243A1 (en) 2005-10-14 2007-05-24 Vantus Technology Corporation Personal fit medical implants and orthopedic surgical instruments and methods for making
US20070226986A1 (en) 2006-02-15 2007-10-04 Ilwhan Park Arthroplasty devices and related methods

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP2280671A4

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3327626A1 (en) * 2008-04-30 2018-05-30 Howmedica Osteonics Corp. Method for generating computer models of a bone to undergo arthroplasty
JP2013528457A (en) * 2010-06-16 2013-07-11 エーツー・サージカル A method to determine bone resection on deformed bone surface from a small number of parameters
WO2013173926A1 (en) * 2012-05-24 2013-11-28 Zimmer, Inc. Patient-specific instrumentation and method for articular joint repair
AU2013265992B2 (en) * 2012-05-24 2017-11-30 Zimmer, Inc. Patient-specific instrumentation and method for articular joint repair
US10327786B2 (en) 2012-05-24 2019-06-25 Zimmer, Inc. Patient-specific instrumentation and method for articular joint repair
US11849957B2 (en) 2012-05-24 2023-12-26 Zimmer, Inc. Patient-specific instrumentation and method for articular joint repair
US10912571B2 (en) 2013-03-15 2021-02-09 Howmedica Osteonics Corporation Generation of a mating surface model for patient specific cutting guide based on anatomical model segmentation
US10932855B2 (en) 2014-09-24 2021-03-02 Depuy Ireland Unlimited Company Surgical planning and method
US11701177B2 (en) 2014-09-24 2023-07-18 Depuy Ireland Unlimited Company Surgical planning and method
US11819416B1 (en) 2022-08-09 2023-11-21 Ix Innovation Llc Designing and manufacturing prosthetic implants

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EP2280671B1 (en) 2017-09-06
US10251707B2 (en) 2019-04-09
US9646113B2 (en) 2017-05-09
CA2721735C (en) 2017-10-31
TW200946073A (en) 2009-11-16
EP2280671A4 (en) 2014-04-02
EP3263075A1 (en) 2018-01-03
US20170202622A1 (en) 2017-07-20
AU2009241396A1 (en) 2009-11-05
EP3263075B1 (en) 2019-03-20
US20090270868A1 (en) 2009-10-29
US20140005997A1 (en) 2014-01-02
CA2721735A1 (en) 2009-11-05
AU2009241396B2 (en) 2013-11-07
EP2280671A1 (en) 2011-02-09
US8480679B2 (en) 2013-07-09
JP5681098B2 (en) 2015-03-04
JP2011518645A (en) 2011-06-30

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