EP2164393A2 - Procédé de détermination d'informations importantes pour la caractérisation de mouvements articulaires - Google Patents

Procédé de détermination d'informations importantes pour la caractérisation de mouvements articulaires

Info

Publication number
EP2164393A2
EP2164393A2 EP08774805A EP08774805A EP2164393A2 EP 2164393 A2 EP2164393 A2 EP 2164393A2 EP 08774805 A EP08774805 A EP 08774805A EP 08774805 A EP08774805 A EP 08774805A EP 2164393 A2 EP2164393 A2 EP 2164393A2
Authority
EP
European Patent Office
Prior art keywords
joint
axes
determined
movements
characterization
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP08774805A
Other languages
German (de)
English (en)
Inventor
Markus Heller
William Taylor
Georg Duda
Rainald Ehrig
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Heller Markus
Original Assignee
Heller Markus
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
Priority claimed from DE200710031946 external-priority patent/DE102007031946A1/de
Priority claimed from DE102007057012A external-priority patent/DE102007057012A1/de
Application filed by Heller Markus filed Critical Heller Markus
Publication of EP2164393A2 publication Critical patent/EP2164393A2/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1127—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using markers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4528—Joints
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4533—Ligaments

Definitions

  • the invention is concerned with the determination of information relevant for the characterization of joint movements.
  • the invention is concerned with the analysis of joint motions based on the time and / or motion dependent measurement of markers mounted on or in the involved body segments.
  • the present invention permits a quantification of dermal marker shifts and a determination of the elasticity of the skin when the markers used are skin markers.
  • the invention is concerned with determining joint parameters (eg, body joint centers and axes) and determining the accuracy of the particular joint parameters.
  • the invention allows information to be obtained which relates generally to movements of inter-related bone fragments or parts, such as fractured bone fragments of a fracture.
  • the concept of a joint thus has a broad meaning.
  • Motion analysis functional movement deficits, diagnosis of musculoskeletal disorders and injuries (eg, osteoarthritis, cruciate ligament injury), planning, performing and monitoring surgical procedures, monitoring therapy success, disease prevention and rehabilitation
  • musculoskeletal disorders and injuries eg, osteoarthritis, cruciate ligament injury
  • planning performing and monitoring surgical procedures
  • monitoring therapy success e.g., disease prevention and rehabilitation
  • joints e.g. a knee or a hip
  • the movement of a skeleton can be measured by a variety of methods such as percutaneous tracking markers in combination with videofluroscopy and bone pins.
  • these procedures are very limited because of their invasive nature.
  • Measurements of markers attached to the skin can provide information on predetermined body segments and are also used in the determination of in vivo joint kinematics.
  • a non-invasive determination of the motion of predetermined body segments is typically made by directly measuring positions of these reflective markers with infrared optical measuring systems during a certain period of time.
  • various information relevant to motion analyzes such as e.g. Joint axes or joint pivot points are derived.
  • Joint axes or joint pivot points are derived.
  • the previous methods have the disadvantage that they are too inaccurate.
  • While measuring marker positions there is relative movement between the markers and the bone to be examined.
  • the errors that occur in such noninvasive measurements usually originate in such movements of the markers, which are due to skin elasticity and slight tissue deformities or irregularities. To improve the accuracy of these procedures, manual and time-consuming corrections often need to be made.
  • the aim of the present invention in addition to the most accurate determination or determination of relevant for the characterization of joint movements information (eg skin marker displacements, skin elasticity, joint parameters such as Thusge steering centers or axes) and the determination of a statement about the reliability of the determined or determined Information.
  • relevant for the characterization of joint movements information eg skin marker displacements, skin elasticity, joint parameters such as Thusge steering centers or axes
  • this object is achieved by a method of the type mentioned above, in the course of which markers are applied to both sides of a body joint on the skin and which has the following method steps:
  • the target is achieved by means of a device for evaluating the joint function of a subject and / or by means of a device for evaluating musculoskeletal loads of a subject, wherein the devices are each configured with suitable means for carrying out the method outlined above, the devices each having different means for Performing various process steps of the method outlined above may have and wherein these means may be designed in various combinations.
  • the above object is achieved by means of a motion analysis system, in particular a gait analysis system, wherein the motion analysis system is coupled to the above-mentioned device for evaluating the joint function of a subject
  • the target is also achieved by means of a navigation system for computer-assisted surgery, wherein the navigation system is configured with suitable means for carrying out the method outlined above, wherein the navigation system can have different means for carrying out different method steps of the method outlined above, and wherein these means different combinations can be implemented.
  • the above-mentioned goal is achieved by means of a medical imaging method, in particular by means of a magnetic resonance-based method, wherein the medical imaging method is coupled to at least one of the above-mentioned devices - device for evaluating the joint function of a subject, device for evaluating musculoskeletal loads of a subject ,
  • Fig. 1a shows by way of example skin tags attached to the skin of a subject's leg.
  • 1 b shows, by way of example, the joint centers and axes for the hip, knee and ankle derived after the recording of skin markers and the corresponding skin marker trajectories.
  • One of the first steps in analyzing articular motions from marker data is to perform an ODR that determines an average marker configuration of markers attached to one side of the body joint.
  • time-dependent corrections of individual markers i. time-dependent deviations from the mean configuration, calculated.
  • the ODR performed in this step may be a conventional ODR, e.g. such as the ODR shown in Taylor, W.R. et al., "On the influence of soft tissue coverage in the determination of bone kinematics using skin markers", J. of Orthopedic Research, (2005).
  • the already determined time-dependent corrections of individual markers or the time-dependent deviations from the mean configuration are used to perform a weighted ODR.
  • the skin markers that move most strongly relative to the other skin markers are determined, and the skin markers are weighted according to their relative movement in such a way that relatively more heavily weighted skin markers are weighted less.
  • a quantification of the skin marker shifts of individual markers and thus a description of the elasticity of the soft tissues is made possible in this way.
  • a linear compensation problem is solved using information determined by performing the weighted ODR.
  • This information is the ODR-corrected marker data or the optimal marker configuration.
  • the determination of the linear balance problem is done using transformation matrices. These transformation matrices can be calculated for each measurement time and each side of the body joint.
  • the solving of the linear balance problem itself can be performed using a singular value analysis.
  • the method provides an analysis of the primary and secondary components of the joint motion.
  • joint movements in rotations are divided by three (rotational) main axes and the singular values associated with the main axes.
  • the singular values associated with the major axes provide weighting for all components of a joint movement that can be automatically classified and evaluated in this way.
  • the hinge type e.g., ball joint, hinge joint
  • the concept of breaking any joint motion into rotations about three major rotation axes allows quantification of joint motion not only with respect to the major axis, which is the rule in existing methods, but with respect to all three principal axes.
  • An independently inventive method for determining information relevant for the characterization of joint movements comprises, for example, the following method steps:
  • the primary axis and at least one secondary axis of this movement can be determined.
  • the stability of the primary axis of the movement of the joint can be determined by means of information about the at least one secondary axis of the movement.
  • the above object is achieved by means of a method of determining joint stiffness, by which method steps according to the method outlined above are carried out, wherein the steps can be performed in any meaningful combination apparent to a person skilled in the art, and wherein the joint rigidity is determined using Information on forces of joint movement is determined.
  • the information on external forces during joint movements can be determined using a robot or using a robot assistance system.
  • joint movements are carried out by a robot integrated in the robot assistance system and detected by the robot assistance system together with the forces and moments required to carry out the movement.
  • the information obtained in this way contains information on forces for the execution of joint movements by means of which joint rigidity (rigidity of the corresponding joint) as a whole or for specific directions can be determined.
  • the above-mentioned object is further also achieved by means of a system for determining information relevant to the characterization of joint movements, the system comprising at least one means configured to perform the method for determining the joint stiffness and the robot assistance system for detection, analysis and / or for determining information relevant to joint movements.
  • the above object is achieved by a method for determining information relevant for the characterization and / or evaluation of orthotics, wherein the method performs steps according to the method outlined above for determining information relevant for the characterization of joint movements and wherein the Linking and analyzing information relevant for the characterization of joint movements with information on orthoses.
  • this method statements can be made about various features such as the effectiveness of the corresponding orthoses.
  • the knowledge about the corresponding joints or joint movements which is determined inter alia by the abovementioned methods according to the invention, is brought in a suitable manner in connection with the knowledge about the corresponding orthoses or linked and analyzed accordingly, and thus one achieved comprehensive characterization and / or evaluation of orthoses.
  • the present invention thus enables a robust analysis of joint movements with simultaneous automatic quantification of accuracy. Furthermore, an analysis of the errors caused by marker movements and a classification of the joint movement with respect to orthogonal rotational principal axes is achieved. Further, the present invention provides various options for determining or determining information relevant to the characterization of joint motions, thereby providing various aspects of joint functionality.
  • the invention allows to obtain information which is generally related to movements of inter-related bone fragments or parts such as bone fragments or parts thereof.
  • the concept of a joint thus has a broad meaning.
  • the terms joint movement, movement, movement of a joint thus also include movements of such bone fragments which, as in the case of bone fractures or fractures, are movably related to one another and have a kind of abstract joint movement when moving.
  • joint is meant not only a concrete joint, e.g. It can also be a kind of abstract joint around which a movement of bones or bone fragments or parts takes place.
  • Figure 1a shows skin-attached markers
  • Fig. 1b shows a typical marker configuration with derived joint centers and axes for hip, knee and ankle
  • Fig. 2 is a block diagram illustrating the determination of the movement of a hinge of marker trajectories
  • Fig. 3 is a block diagram illustrating the determination and evaluation of joint parameters
  • Fig. 4 illustrates the definition of local coordinates for two positions of a segment
  • Fig. 5 the center and the major axis of the knee movement and two secondary
  • 6a shows a comparison of the position of the mean flexion axis for a first defined flexion angle range in 7 subjects with a rupture of the anterior cruciate ligament in comparison to the position of the axis in healthy subjects in a lateral view;
  • 6b shows a second comparison of the position of the mean flexion axis for a further defined flexion angle range in 7 subjects with rupture of the anterior cruciate ligament (pink) compared to the position of the axis in healthy subjects in a view from the front; and
  • 6c shows a third comparison of the position of the mean flexion axis for a first defined flexion angle range in 7 subjects with anterior cruciate ligament rupture (pink) compared to the position of the axis in healthy subjects in a front view.
  • pink anterior cruciate ligament rupture
  • FIG. 2 shows an embodiment for determining the movement of a hinge of marker trajectories.
  • step SO markers are attached to the skin or attached.
  • Fig. 1a shows an example of such markers attached to the skin of a subject's leg.
  • marker trajectories are measured during a movement of the subject.
  • the result of SO are time-dependent, spatial positions of all markers. Any standard method of biomechanics may be used to perform SO.
  • the marker trajectory data may be acquired using an optical, infrared, or other suitable system during joint movement of a body joint.
  • step S1 a conventional ODR is performed, whereby the ODR for each body segment determines the marker configuration that best describes the measured configurations for all times. This is done by minimizing the function
  • Ri, ti are the rotations and translations to be determined for the mark substitute Ai, n the number of observations. In mathematics, this is a so-called “Generalized Procrustes Analysis", which is solved with an orthogonal distance regression to obtain an optimal mean configuration
  • a calculation of time-dependent deviations of the configuration is performed based on raw data for the optimal mean configuration. For this calculation, the less the position of a marker within the configuration varies, the lower the corrections made to the experimentally measured marker positions by the ODR. These are therefore a direct measure of the stability of the markers. This allows them to be used to determine the most stable marker configurations, ie to optimize the placement of markers. Optimal marker positions can be considered, for example, on the one hand, small corrections by the ODR result and these corrections are also for all markers as equal as possible. In addition, a routine detection of erroneous measurements (eg marker exchanges) is possible because they can be detected and excluded by much larger corrections.
  • erroneous measurements eg marker exchanges
  • a database DB1 which collects the connection between these deviations of age, gender, BMI, diseases, measuring methods and measuring location and allows an analysis of such relationships.
  • the relevant for the database DB1 result data D2 of S2 are included in the database DB1 and possibly stored. From the steps S1 and S2 information relevant for the characterization of joint movements, such as muscle activity and / or local elasticity of the soft tissues, can be determined.
  • a second ODR - a weighted ODR using the detected deviations - is performed. From the correction factors determined by the S2, it is possible to determine weighting factors which are used for carrying out the second, weighted ODR.
  • the weight factors are e.g. from the inverses of the correction terms of the ODR.
  • the weighting can be carried out on the one hand independently of time by using an averaged correction term for each marker.
  • a time-dependent application is achieved by using the current correction of the ODR for weighting at each point in time. In both cases, all markers, according to their experimental stability, contribute to the determination of the optimal mean configuration.
  • the weighting of a marker can be greatly affected by the relative position of the segments to each other, e.g. a deflection angle, be dependent.
  • an optimal configuration of the markers is determined to which all markers contribute according to their stability within the experimental configuration.
  • step S4 an evaluation of the optimum configuration is performed.
  • the results are evaluated in accordance with S2.
  • significant differences between the results from steps S1 and S3 are analyzed - robust marker placements are evident, for example. due to small differences between the simple and the weighted ODR.
  • the steps S1-S3 and / or S4 enable a robust automatic preprocessing of the marker data. Time-consuming manual corrections, which are caused by different time-dependent stability, can thus be avoided. Furthermore, a quantification of the skin marker shifts of individual markers and thus a determination of the elasticity of the soft tissues is possible.
  • FIG. 3 shows an exemplary embodiment with steps for determining and evaluating joint parameters, in particular positions of a joint center and joint axes, wherein these positions may also be time-dependent. Furthermore, secondary motion components can also be determined.
  • steps S1-S4 are based on the It should be noted here that the determination and evaluation of joint parameters exemplified by FIG. 3 does not necessarily require information on markers applied to the skin. Here, for example, also on bone fixed markers (eg pins in the bone) into consideration. The determination of joint parameters and their evaluation finds its place both in invasive and in non-invasive procedures.
  • Invasive procedures such as pins in bone are used, for example, for intraoperative use in the context of computer-assisted navigation in orthopedic / traumatological procedures (replacement / reconstruction of the cruciate ligaments, corrective osteotomies, endoprosthetic joint replacement). It allows the use of different markers - optically reflective markers that are attached to the skin, electromagnetic markers that can then be attached to the skin or in / on the bone. Also conceivable is the method for calculating a joint center or an axis together with tantalum markers which are used for so-called RSA examinations (in doing so, small tantalum markers in the bones (intra-operative) or on / in prostheses (components) and then reconstruct the 3D position of the markers with an X-ray method). Furthermore, it is also conceivable that, for example, surfaces or contours of bones / joints are determined from a possibly dynamic nuclear spin recording. The result is then "point clouds" (collections of points) with which the joint centers and / or axes can be determined
  • the marker positions determined by means of the two-time ODR are now used to calculate the joint parameters. These are the (possibly also time-dependent) positions of the joint center and joint axes, as well as the detection of secondary components of movement.
  • local coordinate systems are defined in the associated body segments with the help of three markers and the rotations Ri and translations ti. (Body segment 1), or Si and di (body segment 2) of global coordinates in these local systems, see FIG. 4.
  • the conditions for a joint center or a joint axis result in the following n equations, which together define an over-determined linear system of equations, ie a linear compensation problem:
  • d and c2 are the coordinates of the joint center in the respective local systems
  • n is the number of measurements. This approach is characterized by being completely symmetric with respect to both segments and requiring no prior transformation. The corrections made by the ODR make the marker configurations identical for all time points, so the results are completely independent of the choice of the three markers for constructing local coordinates.
  • the determination of the axes of rotation is also possible in the case that these axes have no point of intersection. This not only allows an accurate determination of the direction of the axes, but also of their position. This results in important new, unambiguous criteria for the differentiation of different patterns of joint movements in the context of diagnostics, for example by comparing a typical movement pattern of a healthy knee and a cruciate ligament-injured knee.
  • the unambiguous determination of the position of the axes also makes it possible to monitor and ensure the success of a surgical intervention (for example, reconstruction of the cruciate ligaments, correctional osteotomy close to the knee, endoprosthetic joint replacement) in a pre-post-operative comparison.
  • the method according to the invention of solving a specific linear compensation problem is used. It supplies the direction vectors U 11 V 11 W 1 (segment 1) or u 2 , v 2 , W 2 (segment 2) of the three axes of rotation. For both segments, the rotation matrices R 1 and S are decomposed into elementary rotations for n measurements.
  • the solution of the compensation problem is calculated in step S5 by means of a singular value decomposition (SVD) of the matrix of the linear compensation problem.
  • SVD singular value decomposition
  • This provides a local description of the joint center (d, c2) for each body segment. If the joint moves like an ideal hinge joint, there is no clear solution to the compensation problem.
  • the one-dimensional solution space which is associated with the singular value with the value zero, then represents the joint axis in local coordinates.
  • the ratio of the smallest singular value relative to the others describes exactly the behavior of the joint, i. it results in a simple classification of the joint between ball and hinge joint.
  • the description of the center or axis obtained in the segment coordinates can finally be transformed into time-dependent global coordinates.
  • step S6 an analysis of the residual r of the compensation problem is performed.
  • step S7 a decomposition of any joint movement in rotations is performed around three main axes of rotation.
  • the SVD analysis of the compensation problem thus allows a more thorough analysis of the actual joint movements.
  • the singular vectors associated with the individual singular values can be understood as axes of primary and secondary motion components and provide a decomposition of the motion into three major rotational axes.
  • FIG. 5 shows a joint center and three joint axes using the example of a knee.
  • the joint center is marked Z1
  • the major axis of the knee movement is A1
  • two secondary axes are A2 and A3, with the A2 pointing to the tibia and the A3 to the femur.
  • the smaller the associated singular value the greater the proportion of the associated rotation (see FIG. 5).
  • the connection of the method with a navigation system is advantageous, eg, the joint axes can be displayed in relation to the individual bony anatomy and, for example, the position of ligament attachment points during different phases of the operation For example, to allow the surgeon to more accurately assess the success of the joint's surgical function by comparing it to the position of the axis in the healthy or otherwise optimal axis.
  • the relationship between the proportion of a rotation and the associated singular value can be further mathematically specified. For the three smallest singular values, which are assigned to the rotation axes, the following relationship can be derived
  • values can be derived for the angular ranges ⁇ , which comprise the rotations about the three rotation axes. If a continuous distribution of the measurements in this range is assumed, this assumption will usually be fulfilled well, this correlation results a
  • D2 The results of S6, which characterize the residuals, can be stored or stored in a database or another data container D2.
  • D2 will then contain data on residuals depending on various factors such as age, gender, BMI, disease, severity of disease, site, type of joint, etc.
  • step S8 an evaluation of the joint configuration, the data relevant to the joint movements, may be performed.
  • the results of step S6 and / or step S7 can be compared with the results of step S4, whereby data from D2 can also be used to determine the evaluation.
  • the data determined by the method, information from D1 and / or from D2 and / or further information can be output at will as data D6 in various combinations and detail levels and, if necessary, visualized graphically (3D).
  • the axes can be visualized by means of a color scale (eg blue ... red), which links the singular values of the axes with a corresponding color.
  • the diameters of the axes can also be varied and visualized in accordance with the associated singular values.
  • the above-mentioned visualization variants can also be combined and thus also make it possible to obtain and visualize the conditions for the overall movement or specific areas of the movement. In this way, the user is able to quickly record the results.
  • both the steps that perform ODR and the formulation of the balance problem can be implemented so that new data can be added with very little computational overhead.
  • real-time measurements can be made possible in which joint parameters as well as data for accuracy are already available during the movement.
  • the (skin) marker-related data are determined with sufficient accuracy that good primary joint axes can also be determined for small movements (ROM, range of motion).
  • the secondary axes together with the associated singular values are then a sensitive criterion for distinguishing between normal or conspicuous movement behavior.
  • the present invention can be applied to the function of a joint e.g. of the knee joint at various hierarchical levels (global: joint, specific: structures) to quantify, if necessary by means of special feedback mechanisms for interaction with the user of the method.
  • a joint e.g. of the knee joint at various hierarchical levels (global: joint, specific: structures) to quantify, if necessary by means of special feedback mechanisms for interaction with the user of the method.
  • the flexion / extension axis is the main axis of movement of the knee joint. Therefore, in the method for characterizing the function of the joint, the knee is first flexed, and the main and minor axes of the movement are calculated from the flexion or flexion extension movement by the method according to the invention. Calculated are both over the entire range of motion as well as on special sub-areas of the range of motion, eg flexionswinkelanno, averaged axes. Knowledge about the present pathology can also be used to decide which areas are used to determine the axes (eg angle of rotation dependent significance of the anterior cruciate ligament for the stability of the joint with regard to rotation / translation).
  • the secondary axes determined in accordance with the invention provide direct, quantitative information on the stability of the primary axis and thus of the joint.
  • the position of the axes to the individual anatomy eg transepicondylar axis, axis of the posterior condyles, position of the band insertions eg the sidebands
  • the anterior cruciate ligament contributes little to joint stability in Fig. 6b that the axes for the patients deviate only slightly from the axis of a healthy person
  • the anterior cruciate ligament carries clearly for joint stability, so that the axes for the patient differ significantly from the axis of a healthy.
  • the information on the secondary axes can also be used to directly provide feedback to the user as to whether the measurement met the accuracy requirements or whether the recording of the movement / function may need to be repeated to reliably characterize the function of the joint ,
  • the user can be given feedback on how the movement is best carried out, in which e.g. the singular values associated with the secondary axes are displayed and the user can optimize them.
  • the singular values associated with the secondary axes are displayed and the user can optimize them.
  • further movements may be performed so that secondary degrees of freedom of movement of the knee joint are at the maximum or minimum of the possible range of motion.
  • the joint is rotated for one cycle as far as possible inside or outside, or if possible abducted or adducted, and / or, if possible, anteriorly or posteriorly, or medially or laterally postponed.
  • the secondary axes of the movement determined according to the invention are calculated and specified, thus allowing the direct control and determination of how far secondary degrees of freedom have actually been eliminated.
  • the present invention allows for a comprehensive characterization of the individual joint function over the entire range of motion that can be used in the practice of everyday activities or even during sports activities.
  • the stabilizing effect of the structures of the knee joint is dependent on knee joint position. Therefore, a detailed analysis of the configuration of joint axes for specific joint positions provides detailed information on the function of different structures.
  • the joint in different, as constant as possible flexion angles, exposed to such external loads by the user, which primarily in movements of the joint with respect to the secondary axes of the knee joint result (ab / adduction, internal / external rotation).
  • the user induces a maximum internal or external rotation of the joint or abduction / adduction of the joint for a given flexion angle.
  • the calculation according to the invention of all axes is carried out for these specific movements.
  • the range of motion (each maximum minus minimum) can then be calculated with reference to these degrees of freedom.
  • the position of the axes with respect to the previously determined main axis of motion and / or the joint center, possibly also the anatomy (such as bone, Bandinsertionen, anatomical axes of the knee joint) is determined.
  • the deviation of a pathological joint condition can be quantified exactly. This is done, for example, by calculating the difference in the medio-lateral, anterior-posterior, or superio-inferior position of the axis during internal / external rotation or ab / adduction of the subject in comparison to the healthy.
  • the inventive method additionally the exact quantitative Characterization of the function and interaction of selected structures of the joint performed.
  • Another field of application of the present invention is, for example, the calculation and representation of functional hinge axes by integration of the method according to the invention in medical imaging devices, such as e.g. Magnet resonance tomographs. Combined with medical imaging, these devices can be used to display and evaluate dynamic musculoskeletal function, in terms of musculoskeletal functional imaging.
  • medical imaging devices such as e.g. Magnet resonance tomographs.
  • the present invention allows combination of anatomy with function for the detailed calculation of musculoskeletal loads. This connection may also be relevant to the motion capture / film industry for more realistic rendering and motion animation.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Dentistry (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Veterinary Medicine (AREA)
  • Medical Informatics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Physiology (AREA)
  • Orthopedic Medicine & Surgery (AREA)
  • Rheumatology (AREA)
  • Geometry (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

La présente invention concerne un procédé de détermination d'informations importantes pour la caractérisation de mouvements articulaires. Des marqueurs appliqués sur les deux côtés d'une articulation corporelle sont utilisés pour analyser les mouvements articulaires, le procédé comprenant les étapes suivantes : détermination d'une configuration de marqueur moyenne et détermination d'écarts liés au temps de la configuration moyenne, une régression de distance orthogonale étant réalisée pour déterminer une configuration de marqueur moyenne et des marqueurs étant appliqués respectivement sur un côté de l'articulation corporelle; réalisation d'une régression de distance orthogonale pondérée en utilisant les écarts liés au temps de la configuration moyenne pour la pondération, des marqueurs étant appliqués respectivement sur un côté de l'articulation corporelle; et résolution d'un problème de compensation linéaire en utilisant des informations qui ont été déterminées lors de la réalisation de la régression de distance orthogonale pondérée.
EP08774805A 2007-07-06 2008-07-04 Procédé de détermination d'informations importantes pour la caractérisation de mouvements articulaires Withdrawn EP2164393A2 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE200710031946 DE102007031946A1 (de) 2007-07-06 2007-07-06 Verfahren zum Ermitteln von für die Charakterisierung von Gelenkbewegungen relevanten Informationen
DE102007057012A DE102007057012A1 (de) 2007-11-23 2007-11-23 Verfahren zum Ermitteln von für die Charakterisierung von Gelenkbewegungen relevanten Informationen
PCT/EP2008/058729 WO2009007332A2 (fr) 2007-07-06 2008-07-04 Procédé de détermination d'informations importantes pour la caractérisation de mouvements articulaires

Publications (1)

Publication Number Publication Date
EP2164393A2 true EP2164393A2 (fr) 2010-03-24

Family

ID=40227749

Family Applications (1)

Application Number Title Priority Date Filing Date
EP08774805A Withdrawn EP2164393A2 (fr) 2007-07-06 2008-07-04 Procédé de détermination d'informations importantes pour la caractérisation de mouvements articulaires

Country Status (3)

Country Link
US (1) US20110054851A1 (fr)
EP (1) EP2164393A2 (fr)
WO (1) WO2009007332A2 (fr)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130307955A1 (en) 2010-12-13 2013-11-21 Ortho Kinematics, Inc., Methods, systems and devices for a clinical data reporting and surgical navigation
US20160354161A1 (en) 2015-06-05 2016-12-08 Ortho Kinematics, Inc. Methods for data processing for intra-operative navigation systems
EP3386389B1 (fr) * 2015-12-11 2020-03-11 Brainlab AG Détermination du centre de rotation d'un os
MX2023014680A (es) 2021-06-10 2024-01-12 Amgen Inc Variantes genomodificadas de la nrg-1 con una selectividad mejorada frente al erbb4 pero no frente al erbb3.

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2509342A1 (fr) * 2001-12-11 2003-07-03 Ecole De Technologie Superieure Procede d'etalonnage pour la representation de la cinematique d'un genou et harnais correspondant
FR2849516B1 (fr) * 2002-12-30 2009-01-09 Axs Ingenierie Procede de simulation biomecanique d'un ensemble d'articulations osseuses

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2009007332A2 *

Also Published As

Publication number Publication date
US20110054851A1 (en) 2011-03-03
WO2009007332A3 (fr) 2009-05-14
WO2009007332A2 (fr) 2009-01-15

Similar Documents

Publication Publication Date Title
EP2092907B1 (fr) Calcul de la position de parties du corps en fonction de la symétrie anatomique
DE102006056399B4 (de) Funktionsgelenk-Arthroplastikverfahren
DE69424416T2 (de) Vorrichtung zur lokalisierung funktioneller strukturen des beins während der kniegelenkschirurgie
EP2299909A1 (fr) Dispositif de détermination de la stabilité d'une genouillère
EP1402855A1 (fr) Appareil et méthode pour déterminer le débattement d'une articulation
Sangeux et al. Do physical examination and CT-scan measures of femoral neck anteversion and tibial torsion relate to each other?
DE112004002435B4 (de) Bestimmung von patientenbezogenen Informationen zur Position und Orientierung von MR-Bildern durch Individualisierung eines Körpermodells
DE102011106812A1 (de) Registrierung von anatomischen Datensätzen
DE102004043057A1 (de) Verfahren zur Bestimmung ausgezeichneter coronaler und sagittaler Ebenen für die nachfolgende Aufnahme neuer Magnetresonanz-Schichtbildern oder die Darstellung von Magnetresonanz-Schichtbildern aus einem bereits vorhandenen Bilddatensatz eines Kniegelenks
EP2164393A2 (fr) Procédé de détermination d'informations importantes pour la caractérisation de mouvements articulaires
DE102007031946A1 (de) Verfahren zum Ermitteln von für die Charakterisierung von Gelenkbewegungen relevanten Informationen
Kabaev et al. Visualization and Analysis of the Shoulder Joint Biomechanics in Postoperative Rehabilitation.
Schelin et al. Test-retest reliability of entire time-series data from hip, knee and ankle kinematics and kinetics during one-leg hops for distance: Analyses using integrated pointwise indices
DE102007057012A1 (de) Verfahren zum Ermitteln von für die Charakterisierung von Gelenkbewegungen relevanten Informationen
Kabaev et al. Methods of interpretation of data from isokinetic tests and MRI studies during rehabilitation of patients after reconstructive shoulder joint surgery
WO2004095341A2 (fr) Procede de simulation des contraintes musculo-squelettiques d'un patient
WO2023218039A1 (fr) Dispositif et méthode de normalisation de l'orientation axiale et de la position de données cinématiques par rapport à une articulation corporelle d'un patient
AT515149B1 (de) Verfahren zur Früherkennung von Knochengelenkserkrankungen
EP1911421B1 (fr) Dispositif destinés à la détermination de la modification d'un objet
Musagara et al. Are we overestimating internal rotation gait by conventional modelling?
EP3912555B1 (fr) Procédé de détermination du point de rotation d'une articulation du genou, procédé de fabrication d'une endoprothèse d'articulation du genou ou d'une orthèse chevauchant l'articulation du genou et un dispositif pour l'exécution d'un procédé de détermination du point de rotation d'une articulation du genou
DE102022104486A1 (de) Endoprothesen-Assistenzsystem und Assistenzverfahren
EP4384103A1 (fr) Système et méthode de planification préopératoire d'une endoprothèse du genou
DE102021124873A1 (de) Medizintechnisches System und Verfahren
DE102022125697A1 (de) Vorrichtung und Verfahren zur Standardisierung der Achsausrichtung und -position von Kinematikdaten bezüglich eines Körpergelenks eines Patienten

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20100208

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL BA MK RS

17Q First examination report despatched

Effective date: 20101216

DAX Request for extension of the european patent (deleted)
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20140201