WO2019180746A1 - Procédé d'obtention de correction de malformation tridimensionnelle pour os - Google Patents
Procédé d'obtention de correction de malformation tridimensionnelle pour os Download PDFInfo
- Publication number
- WO2019180746A1 WO2019180746A1 PCT/IN2019/050232 IN2019050232W WO2019180746A1 WO 2019180746 A1 WO2019180746 A1 WO 2019180746A1 IN 2019050232 W IN2019050232 W IN 2019050232W WO 2019180746 A1 WO2019180746 A1 WO 2019180746A1
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- WO
- WIPO (PCT)
- Prior art keywords
- correction
- bone
- anatomical
- template
- axis
- Prior art date
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B34/00—Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
- A61B34/10—Computer-aided planning, simulation or modelling of surgical operations
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B34/00—Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
- A61B34/10—Computer-aided planning, simulation or modelling of surgical operations
- A61B2034/101—Computer-aided simulation of surgical operations
- A61B2034/105—Modelling of the patient, e.g. for ligaments or bones
Definitions
- this invention to systems and methods for obtaining 3d deformity correction.
- the template can then be aligned with the x-ray image and projected on an image plane for the appropriate camera model to obtain a 2D projection model.
- the template is then modified to match the 2D anatomical values by comparing the 2D projection with the corresponding identified anatomical values.
- a best matching point on the contour, for each extracted silhouette vertex projection, is identified between the 2D projection and contour.
- the resulting matching points are then back projected based on camera model to form a back projected ray with target positions that are closest to a corresponding silhouette vertex.
- the 3D template can then be deformed so that its silhouette vertices match the target positions, resulting in a 3D image that corresponds to the 2D X-ray image.
- an object of the invention is to provide systems and methods for obtaining 3d deformity correction. Accordingly, another object of the invention is to provide a simulator which receives input of 2D images, uses it to obtain a 3D model with anatomical regions, anatomical axes, anatomical landmarks, and anatomical parameters and further using all the information to obtain a corrected 3D model having new / corrected anatomical regions, new / corrected anatomical axes, new / corrected anatomical landmarks, and new / corrected anatomical parameters.
- pSRL proximal anatomical axis
- dSRL distal anatomical axis
- FIG. 1 is an illustration of a schematic block diagram of an example embodiment system.
- FIG. 13 is a flowchart of an example method of determining alignment of the template with respect to the input x-ray image.
- FIG. 16 depicts landmarks and axes on the X-ray of a bone.
- the present invention is devices, software as stored or executed on tangible computer-readable media, and methods for converting 2D X-rays into full 3D pre- operation planning models.
- the few example embodiments and example methods discussed below illustrate just a subset of the variety of different configurations that can be used as and/or in connection with the present invention.
- a camera calibration perspective ratio K may be defined as a ratio of SOD 103 to SFD 105.
- SOD 103 may either be a known parameter or may be approximated. An example method to determine SOD 103 approximately is disclosed as below.
- Anatomical regions may give anatomical landmarks to define anatomical parameters.
- Anatomical landmarks may be used for alignment of templates, and anatomical parameters may be used for selective anatomical modification of pre- created 3D templates.
- a 2D Anatomical Value may include: anatomical
- FIG. 18 illustrates computation of landmark based on the standard directions of a bone’s anatomical co-ordinate system.
- the Y-axis (AP direction) of the ACS is along the cross-product of the mechanical axis and the posterior-condylar axis.
- the X-axis (ML direction) of the ACS is the cross-product of the Y-axis and the Z-axis of the ACS.
- the landmarks can be re-calculated based the new ACS and vice-versa iteratively.
- contour and landmark points in 2D coordinate system are transformed into 3D coordinate system (Cn (x, y, z) and Lk (x, y, z)) of the imaging space. This is done using the calibration parameters for both AP and ML X-ray images. This is followed by the alignment of the template in the 3D imaging space. The template is then deformed at various regions to reconstruct the deformity in input bone. This includes shaft bending deformity, condyle region deformity and torsional deformity. Finally, the bone template is deformed in such a way that its projection on the X-ray image plane in the imaging space will match exactly with the input contour.
- 3D coordinate system Cn (x, y, z) and Lk (x, y, z)
- FIG. 22 illustrates a flowchart for local deformation.
- a perspective projection of the vertices of the template mesh may be computed on its image plane.
- the outer contour of the template projection, or template projection contour can be computed using the following example method. All vertices of the template may be projected on image plane 101
- the template deformation may be performed using a Laplacian Surface
- a matching point analysis may compute and provide at least a best matching point, for each of the template projection contour point(s) that correspond to the silhouette vertex position(s), on the input contour of the bone, such as 2D-2D correspondence using the SOM method.
- Deformation may further include constructing a correspondence map for converting points from the 2D projection of the template to a 3D format. The correspondence depends on the back projection mechanism and method. After the initial alignment of the template model, a 2D-3D correspondence is determined between the defined points of the 2D input contour and the silhouette vertices of the aligned 3D template model for both ML and AP planes, potentially simultaneously.
- the first pre-determined position for the first X-ray is such that an anterior-posterior X-ray is taken.
- a second X-ray is taken keeping the bone in its second pre-determined position with the X-ray source to image distance being known.
- the second pre-determined position for the second X-ray is such that a medial-lateral X-ray is taken.
- the second X-ray is orthogonally angularly displaced with respect to the first X-ray, about the axis of the bone.
- FIG. 12A illustrates an example method of 3D image reconstruction and template deformation separately with respect to ML and then AP X-ray image.
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- Health & Medical Sciences (AREA)
- Surgery (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Robotics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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US16/981,400 US20210007806A1 (en) | 2018-03-21 | 2019-03-21 | A method for obtaining 3-d deformity correction for bones |
Applications Claiming Priority (2)
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IN201821010315 | 2018-03-21 | ||
IN201821010315 | 2018-03-21 |
Publications (1)
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WO2019180746A1 true WO2019180746A1 (fr) | 2019-09-26 |
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PCT/IN2019/050232 WO2019180746A1 (fr) | 2018-03-21 | 2019-03-21 | Procédé d'obtention de correction de malformation tridimensionnelle pour os |
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WO (1) | WO2019180746A1 (fr) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021142213A1 (fr) * | 2020-01-09 | 2021-07-15 | Smith & Nephew, Inc. | Procédés et agencements de description de déformation d'os |
US11259874B1 (en) | 2018-04-17 | 2022-03-01 | Smith & Nephew, Inc. | Three-dimensional selective bone matching |
CN114677481A (zh) * | 2022-05-31 | 2022-06-28 | 中国飞机强度研究所 | 空天飞机地面测试的理想加热曲面等效逼近模型构建方法 |
US11386990B1 (en) | 2018-04-17 | 2022-07-12 | Smith & Nephew, Inc. | Three-dimensional selective bone matching |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040068187A1 (en) * | 2000-04-07 | 2004-04-08 | Krause Norman M. | Computer-aided orthopedic surgery |
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2019
- 2019-03-21 WO PCT/IN2019/050232 patent/WO2019180746A1/fr active Application Filing
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040068187A1 (en) * | 2000-04-07 | 2004-04-08 | Krause Norman M. | Computer-aided orthopedic surgery |
Non-Patent Citations (1)
Title |
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KARADE, VIKAS ET AL.: "3D femur model reconstruction from biplane X-ray images: a novel method based on Laplacian surface deformation", INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, vol. 10, no. 4, pages 473 - 485, XP035477555, doi:10.1007/s11548-014-1097-6 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11259874B1 (en) | 2018-04-17 | 2022-03-01 | Smith & Nephew, Inc. | Three-dimensional selective bone matching |
US11386990B1 (en) | 2018-04-17 | 2022-07-12 | Smith & Nephew, Inc. | Three-dimensional selective bone matching |
WO2021142213A1 (fr) * | 2020-01-09 | 2021-07-15 | Smith & Nephew, Inc. | Procédés et agencements de description de déformation d'os |
CN114677481A (zh) * | 2022-05-31 | 2022-06-28 | 中国飞机强度研究所 | 空天飞机地面测试的理想加热曲面等效逼近模型构建方法 |
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