Systems and methods for surgical planning of arthroplasty procedures
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.
1. A method of pre-operative planning for an arthroplasty procedure on a patient bone in an arthroplasty target area, the method comprising:
receiving image data associated with the patient bone corresponding to the arthroplasty target area;
generating a model of the patient bone using a golden template that is modified using the image data, the golden template being associated with an exemplary bone;
generating a plurality of segmentation curves from the model of the patient bone;
identifying a portion of a segmentation curve of the plurality of segmentation curves associated with the model of the patient bone for modification;
receiving a modification of the portion of the segmentation curve;
updating the model of the patient bone according to the portion of the segmentation curve that was modified; and
generating preoperative planning data from the model of the patient bone that was updated, the preoperative planning data including a position and orientation of a planned resection on the model of the patient bone that was updated.
2. The method of claim 1 , the position and orientation of the planned resection being planned by superimposing implant data and the model of the patient bone that was updated.
3. The method of claim 1 , wherein identifying the portion of the segmentation curve of the plurality of segmentation curves is performed on two-dimensional image slices.
4. The method of claim 1 , wherein the portion of the segmentation curve includes an area that does not accurately follow a bone shape from the image data.
5. The method of claim 4 , wherein the modification of the portion of the segmentation curve includes the segmentation curve being fitted to the bone shape from the image data.
6. The method of claim 4 , wherein the modification of the portion of the segmentation curve includes landmark points being added in the area, the landmark points being used to update the model of the patient bone.
7. The method of claim 4 , wherein the modification of the portion of the segmentation curve includes a position of landmark points being adjusted in the area, the landmark points in the position being used to update the model of the patient bone.
8. The method of claim 1 , wherein the golden template is modified by mapping the golden template to the image data.
9. The method of claim 1 , wherein the image data comprises computed tomography images or magnetic resonance images.
10. The method of claim 1 , wherein the model of the patient bone is generated based on landmarks associated with the patient bone in the image data.
11. A method of pre-operative planning for an arthroplasty procedure on a patient bone in an arthroplasty target area, the method comprising:
receiving a model of the patient bone, the model being the result of modifying a golden template with image data associated with the patient bone corresponding to the arthroplasty target area, the golden template being associated with an exemplary bone;
receiving a plurality of segmentation curves associated with the model of the patient bone, the plurality of segmentation curves including a first segmentation curve including a two-dimensional (2D) bone model contour line of the model overlaid with respect to a 2D image of the image data;
identifying a portion of the 2D bone model contour line of the first segmentation curve for modification;
receiving a modification of the portion of the 2D bone model contour line of the first segmentation curve;
updating the model of the patient bone according to the portion of the 2D bone model contour line of the first segmentation curve that was modified; and
generating preoperative planning data from the model of the patient bone that was updated, the preoperative planning data including a position and orientation of a planned resection on the model of the patient bone that was updated.
12. The method of claim 11 , the position and orientation of the planned resection being planned by superimposing implant data and the model of the patient bone that was updated.
13. The method of claim 11 , wherein the golden template is modified by mapping the golden template to the image data.
14. The method of claim 11 , wherein the portion of the 2D bone model contour line of the first segmentation curve includes an area that does not accurately follow a bone shape of the 2D image of the image data.
15. The method of claim 14 , wherein the modification of the portion of the 2D bone model contour line of the first segmentation curve includes the 2D bone model contour line of the segmentation curve being fitted to the bone shape of the 2D image of the image data.
16. The method of claim 14 , wherein the modification of the portion of the 2D bone model contour line of the segmentation curve includes landmark points being added in the area, the landmark points being used to update the model of the patient bone.
17. The method of claim 14 , wherein the modification of the portion of the 2D bone model contour line of the segmentation curve includes a position of landmark points being adjusted in the area, the landmark points in the position being used to update the model of the patient bone.
18. The method of claim 14 , wherein the modification of the portion of the 2D bone model contour line of the first segmentation curve includes a shape of the 2D bone model contour line of the segmentation curve being adjusted to match the bone shape of the 2D image of the image data.
19. The method of claim 11 , wherein the image data comprises computed tomography images or magnetic resonance images.
20. The method of claim 11 , wherein the model of the patient bone is generated based on landmarks associated with the patient bone in the image data.