System and method for image segmentation, bone model generation and modification, and surgical planning
US-11045227-B2 · Jun 29, 2021 · US
US11819282B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11819282-B2 |
| Application number | US-202117246604-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 1, 2021 |
| Priority date | Dec 18, 2007 |
| Publication date | Nov 21, 2023 |
| Grant date | Nov 21, 2023 |
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A method for planning an arthroplasty procedure on a patient bone. The method may include accessing generic bone data stored in a memory of a computer, using the computer to generate modified bone data by modifying the generic bone data according to medical imaging data of the patient bone, using the computer to derive a location of non-bone tissue data relative to the modified bone data, and superimposing implant data and the modified bone data in defining a resection of an arthroplasty target region of the patient bone.
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What is claimed is: 1. A method of preoperatively planning an arthroplasty procedure on a knee region of a femur of a patient, wherein an implant is implanted on the knee region of the femur as part of the arthroplasty procedure, the method comprising: a) matching one or more points on a femoral condylar surface of a bone model of the knee region of the femur of the patient with corresponding one or more points on a femoral condylar surface of a first candidate implant model of a plurality of candidate implant models; and b) running an implant matching algorithm on the first candidate implant model to determine a fit on the bone model of the knee region of the femur of the patient, the first candidate implant model including an anterior portion that positionally matches with a corresponding anterior portion of the bone model of the knee region of the femur of the patient while the one or more points are matched with the corresponding one or more points. 2. The method of claim 1 , wherein the one or more points on the femoral condylar surface of the bone model comprises distal points. 3. The method of claim 2 , wherein the distal points are a most distal point on a lateral condyle, and a most distal point on a medial condyle. 4. The method of claim 1 , wherein the one or more points on the femoral condylar surface of the bone model comprises posterior points. 5. The method of claim 4 , wherein the posterior points are a most posterior point on a lateral condyle, and a most posterior point on a medial condyle. 6. The method of claim 1 , wherein the one or more points are distal points positioned on a distal reference plane and posterior points defined on a posterior reference plane. 7. The method of claim 1 , further comprising: identifying the one or more points on the femoral condylar surface of the bone model of the knee region of the femur of the patient. 8. The method of claim 7 , wherein the one or more points include a pair of distal points and a pair of posterior points. 9. The method of claim 8 , further comprising: determining a femoral distance between a distal reference line and a posterior reference line, the distal reference line connecting the pair of distal points, the posterior reference line connecting the pair of posterior points. 10. The method of claim 9 , further comprising: selecting the first candidate implant model from the plurality of candidate implant models based on an implant distance that most closely corresponds with the femoral distance. 11. The method of claim 1 , wherein each of the plurality of candidate implant models include an implant measurement, and the method further comprising: determining that the implant measurement of the first candidate implant model is closest to a corresponding femoral measurement on the femur; and selecting the first candidate implant model from the plurality of candidate implant models for running of the implant matching algorithm. 12. The method of claim 11 , wherein the implant measurement is between a distal reference line and a posterior reference line, the distal reference line connecting a pair of distal points, the posterior reference line connecting a pair of posterior points. 13. The method of claim 1 , wherein the implant matching algorithm occurs at least partially in a sagittal plane. 14. The method of claim 1 , further comprising: generating the bone model of the knee region of the femur of the patient from a golden bone model. 15. The method of claim 14 , wherein the golden bone model is modified using patient specific information. 16. The method of claim 1 , wherein the anterior portion of the first candidate implant model is a flange point of the implant, and the corresponding anterior portion of the bone model of the knee region of the femur of the patient is an inflection point. 17. The method of claim 1 , further comprising: determining an inflection angle between the anterior portion of the first candidate implant model and the corresponding anterior portion of the bone model of the knee region of the femur of the patient. 18. The method of claim 17 , wherein a suitable inflection angle is greater than or equal to seven degrees. 19. The method of claim 1 , wherein the one or more points on the femoral condylar surface of the bone model account for cartilage thickness surrounding a bone surface. 20. The method of claim 19 , wherein the one or more points on the femoral condylar surface of the bone model are adjusted in at least one of distal and posterior directions to account for cartilage thickness. 21. The method of claim 19 , wherein the one or more points on the femoral condylar surface of the bone model are adjusted based on a joint gap assessment. 22. The method of claim 1 , wherein the one or more points on the femoral condylar surface of the bone model account for cartilage thickness based on a predicted cartilage thickness. 23. The method of claim 22 , wherein the predicted cartilage thickness is employed for one of a medial or lateral femoral condyles having the greater cartilage loss.
involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title
Computer-aided planning, simulation or modelling of surgical operations · 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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