System and method for image segmentation, bone model generation and modification, and surgical planning

US11045227B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11045227-B2
Application numberUS-202016865998-A
CountryUS
Kind codeB2
Filing dateMay 4, 2020
Priority dateDec 18, 2007
Publication dateJun 29, 2021
Grant dateJun 29, 2021

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed is: 1. A method of pre-operative planning of an arthroplasty procedure on a patient femur, the method comprising: receiving scan data associated with the patient femur, the scan data captured using a medical scanning system; generating a femur model of the patient femur from a golden template that has been modified using the scan data, the golden template being associated with an exemplary femur; selecting an implant model from a catalog of implant models; and running an implant matching algorithm to align the implant model with the femur model in a position and orientation to repair at least a portion of a joint associated with the patient femur. 2. The method of claim 1 , wherein the implant model is selected from the catalog of implant models based on size. 3. The method of claim 2 , wherein the implant model is selected based on a size comparison of the femur model and the implant models of the catalog of implant models. 4. The method of claim 3 , wherein the size comparison includes a comparison of distances between posterior references and distal references of the femur model and the implant models of the catalog of implant models, respectively. 5. The method of claim 3 , wherein the distances extend between posterior reference lines and distal reference lines, the posterior reference lines connecting posterior condyle points, the distal reference lines connecting distal condyle points. 6. The method of claim 1 , wherein the implant matching algorithm matches a first point on the implant model with a second point on the femur model. 7. The method of claim 6 , wherein the first point is a flange point on the implant model, and the second point is a surface point on the femur model. 8. The method of claim 1 , wherein the implant model and the femur model are aligned in a sagittal image view. 9. The method of claim 1 , wherein the implant matching algorithm matches an anterior shaft portion of the femur model to the implant model. 10. The method of claim 1 , wherein the implant matching algorithm includes determining an angle between an anterior cut plane associated with the implant model and an anterior portion of a femoral shaft of the femur model. 11. The method of claim 10 , wherein the angle is acceptable if it is within a range of seven degrees to fifteen degrees. 12. The method of claim 1 , wherein the scan data includes image slices of the patient femur. 13. The method of claim 1 , wherein the model of the patient femur is generated based on landmarks associated with the patient femur in the scan data. 14. The method of claim 1 , wherein the exemplary femur is a femur type that is the same as the patient femur and is representative of what is considered to be non-diseased and non-damaged with respect to the femur type. 15. The method of claim 1 , wherein the golden template is modified by mapping the golden template to the scan data. 16. The method of claim 1 , wherein the femur model is modified to represent a non-diseased state of the patient femur. 17. The method of claim 1 , wherein the medical scanning system is a computed tomography system. 18. The method of claim 1 , wherein the medical scanning system is an ultrasound system. 19. The method of claim 1 , wherein the implant model is automatically selected from the catalog of implant models. 20. The method of claim 1 , wherein the implant matching algorithm is run automatically.

Assignees

Inventors

Classifications

  • involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title

  • the shape of the element being adjustable before use (adjustable length plates A61B17/7014) · CPC title

  • G06T19/20Primary

    Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts · CPC title

  • using approximation functions · CPC title

  • based on a marking or identifier characterising the area · CPC title

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What does patent US11045227B2 cover?
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 …
Who is the assignee on this patent?
Howmedica Osteonics Corp
What technology area does this patent fall under?
Primary CPC classification A61B17/7013. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jun 29 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).