System and method for image segmentation, bone model generation and modification, and surgical planning
US-10687856-B2 · Jun 23, 2020 · US
US11847755B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11847755-B2 |
| Application number | US-202117326069-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 20, 2021 |
| Priority date | Dec 18, 2007 |
| Publication date | Dec 19, 2023 |
| Grant date | Dec 19, 2023 |
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A computer-implemented method of preoperatively planning a surgical procedure on a knee of a patient including determining femoral condyle vectors and tibial plateau vectors based on image data of the knee, the femoral condyle vectors and the tibial plateau vectors corresponding to motion vectors of the femoral condyles and the tibial plateau as they move relative to each other. The method may also include modifying a bone model representative of at least one of the femur and the tibia into a modified bone model based on the femoral condyle vectors and the tibial plateau vectors. And the method may further include determining coordinate locations for a resection of the modified bone model.
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What is claimed is: 1. A method of performing an arthroplasty procedure, the method comprising: identify landmarks on first and second bone models, each bone model being a computer model representative of a patient bone in a pre-diseased or pre-injured state; utilize the landmarks to predict a position of a first healthy articular cartilage surface for the first bone model and a second healthy articular cartilage surface for the second bone model; position a computer model of a first implant relative to the first bone model such that an articular surface of the computer model of the first implant is located at a predicted position of the first healthy articular cartilage surface; and position a computer model of a second implant relative to the second bone model such that an articular surface of the computer model of the second implant is located at a predicted position of the second healthy articular cartilage surface. 2. The method of claim 1 , wherein the first and second bone models are generated using medical imaging data of the patient bone. 3. The method of claim 2 , wherein the medical imaging data includes data from at least one of MRI or CT. 4. The method of claim 1 , wherein the position of the computer model of the first implant relative to the first bone model and the position of the computer model of the second implant relative to the second bone model are registered with corresponding bones of a patient. 5. The method of claim 4 , wherein the position of the computer model of the first implant relative to the first bone model and the position of the computer model of the second implant relative to the second bone model are used to guide preparation of the corresponding bones of the patient to receive the first and second implants as part of the arthroplasty procedure. 6. The method of claim 1 , wherein, when the landmarks are used to predict the positions of the first and second healthy articular cartilage surfaces, the landmarks are first used to predict a joint gap between the first and second bone models, and the predicted positions of the first and second healthy articular cartilage surfaces are determined from the predicted joint gap. 7. The method of claim 6 , wherein the landmarks include a most distal point on a femoral condylar surface of the first bone model, and the landmarks include a most distal point on a tibial condylar surface of the second bone model. 8. The method of claim 7 , wherein the most distal point on the femoral condylar surface of the first bone model and the most distal point on the tibial condylar surface of the second bone model are associated with a healthy side of a joint of a patient, and a distal-proximal distance between these two points is substantially mimicked between a same set of points on a diseased or injured side of the joint, thereby predicting the joint gap. 9. The method of claim 7 , wherein the joint gap is a distal-proximal distance between the most distal point on the femoral condylar surface of the first bone model and the most distal point on the tibial condylar surface of the second bone model. 10. The method of claim 9 , wherein a cartilage thickness of the femoral condylar surface or the tibial condylar surface is one half of the joint gap. 11. The method of claim 6 , wherein the landmarks include a most posterior point on a femoral condylar surface of the first bone model, and the landmarks include a most distal point on a tibial condylar surface of the second bone model. 12. The method of claim 11 , wherein, when the first and second bone models are oriented in approximately 90 degree flexion, the joint gap is a distal-proximal distance between the most posterior point on the femoral condylar surface of the first bone model and the most distal point on the tibial condylar surface of the second bone model. 13. The method of claim 6 , wherein the landmarks include a most distal point on a medial femoral condylar surface of the first bone model and a most distal point on a lateral femoral condylar surface of the first bone model, and a first tangent line runs through the most distal point on the medial femoral condylar surface and the most distal point on the lateral femoral condylar surface. 14. The method of claim 13 , wherein the first tangent line is at least substantially parallel to a joint line between the first and second bone models. 15. The method of claim 13 , wherein the landmarks include a most distal point on a medial tibial condylar surface of the second bone model and a most distal point on a lateral tibial condylar surface of the second bone model, and a second tangent line runs through the most distal point on the medial tibial condylar surface and the most distal point on the lateral tibial condylar surface. 16. The method of claim 15 , wherein the second tangent line is at least substantially parallel to the first tangent line and the joint gap is a distal-proximal distance between the first and second tangent lines. 17. The method of claim 16 , wherein a cartilage thickness of the femoral condylar surface or the tibial condylar surface is one half of the joint gap. 18. The method of claim 6 , wherein the landmarks include a most posterior point on a medial femoral condylar surface of the first bone model and a most posterior point on a lateral femoral condylar surface of the first bone model, and a first tangent line runs through the most posterior point on the medial femoral condylar surface and the most posterior point on the lateral femoral condylar surface, and wherein the landmarks include a most distal point on a medial tibial condylar surface of the second bone model and a most distal point on a lateral tibial condylar surface of the second bone model, and a second tangent line runs through the most distal point on the medial tibial condylar surface and the most distal point on the lateral tibial condylar surface. 19. The method of claim 18 , wherein the second tangent line is at least substantially parallel to the first tangent line and the joint gap is a distal-proximal distance between the first and second tangent lines. 20. A method of performing an arthroplasty procedure, the method comprising: generate first and second bone models using data taken from a patient bone, the first and second bone models being computer models, each bone model being representative of the patient bone in a pre-diseased or pre-injured state; computer modeling at least one of a joint gap or cartilage thickness based off of landmark data associated with the first and second bone models; and utilize the computer model of the at least one of the joint gap or cartilage thickness to computer model a position of an implant on the patient bone. 21. The method of claim 20 , wherein the position of the implant is registered with the patient bone. 22. The method of claim 21 , wherein the position of the implant is used to guide preparation of the patient bone to receive the implant as part of the arthroplasty procedure. 23. The method of claim 20 , wherein, when the computer model of the at least one of the joint gap or cartilage thickness is used to computer model the position of the implant on the patient bone, an articular surface of a computer model of the implant is located at a predicted position of a healthy articular cartilage surface. 24. The method of claim 20 , wherein the landmark data is associated with a most distal point on a femoral condylar surface of the first b
involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title
Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts · CPC title
Transmission computed tomography [CT] · CPC title
for the knee · CPC title
using imaging means, e.g. by X-rays · CPC title
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