Method for hip resection alignment approximation in hip replacement procedures
Aspects of the present disclosure involve systems, methods, computer program products, manufacturing processes and the like, for utilizing a series of images of a patient's anatomy to determine an estimation of relevant lengths and angles and other dimensions for use during a hip replacement procedure, which may be used to create one or more femur and/or acetabulum cavity implants or inserts useful in a partial or total hip replacement. In one particular embodiment, a jig mechanism for providing a scraper of the acetabulum cavity may be created with the information of the patient's anatomy. Further, the location of these features in the images may be determined by analyzing the gray scale value of one or more pixels around a selected point on the image. The pixel with the lowest gray scale value may then be assumed to be the edge of the cortical bone in the 2D image.
1. A method for determining an orientation of an implant for an arthroplasty procedure on a human hip joint, the method comprising:
receiving a plurality of two-dimensional (2D) images of a patient's joint subject to the arthroplasty procedure at a computing device;
providing a sequence of interior images of a neck of a femur from the plurality of 2D images of the patient's joint, the interior images corresponding to cross-section images of the neck of the femur and spaced apart by a positive distance;
estimating a center coordinate for each of the sequence of interior images of the neck of the femur, the center coordinate corresponding to a coordinate in a global coordinate system of the plurality of 2D images of the patient's joint;
calculating a best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur;
estimating a center coordinate and a diameter for an acetabulum feature of the patient from at least one of the plurality of 2D images of the patient's joint;
providing an acetabulum cavity cup insert comprising a diameter corresponding to the estimated diameter for the acetabulum feature of the patient from at least one of the plurality of 2D images of the patient's joint; and
aligning the center of the acetabulum cavity cup insert with the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur;
wherein said best fit linear segment is determined by said computing device by minimizing an error function that provides a measure of an error between each of the center coordinate locations and the coordinates of said best fit linear segment as said femur.
2. The method of claim 1 wherein the global coordinate system of the plurality of 2D images of the patient's joint comprises a z-axis oriented approximately parallel to a longitudinal axis of the femur neck and an xy-plane oriented perpendicular to the z-axis and wherein the sequence of interior images of the neck of the femur is oriented perpendicular to the z-axis.
3. The method of claim 1 further comprising:
estimating a best fit linear segment for a shaft of the femur; and
calculating an azimuthal angle and a polar angle for the orientation of a direction of the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur relative to a direction of the best fit linear segment for a shaft of the femur.
4. The method of claim 1 further comprising:
providing a jig mechanism configured to align a cavity scraper in the patient's acetabulum cavity, the cavity scraper configured to remove at least one bony projection from an exposed surface of the acetabulum cavity.
5. The method of claim 4 further comprising:
aligning a center of the cavity scraper with the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur.
6. The method of claim 3 further comprising:
calculating an acetabulum cavity cup insert rotation angle relative to at least the calculated azimuthal angle and the polar angle, the acetabulum cavity cup insert rotation angle indicating an angle of rotation of the acetabulum cavity cup insert in the patient's acetabulum cavity.
7. The method of claim 3 further comprising:
calculating an acetabulum cavity cup insert tipping angle relative to at least the calculated azimuthal angle and the polar angle, the acetabulum cavity cup insert tipping angle indicating an orientation angle of the acetabulum cavity cup insert in the patient's acetabulum cavity.
8. A system for processing a medical scan of a patient in preparation for an arthroplasty procedure on a human hip joint, the system comprising:
a network interface configured to receive one or more medical images of a patient's anatomy;
a processing device in communication with the network interface;
a computer-readable medium in communication with the processing device configured to store information and instructions that, when executed by the processing device, performs the operations of:
receiving a plurality of two-dimensional (2D) images of a patient's joint subject to the arthroplasty procedure at a computing device;
providing a sequence of interior images of a neck of a femur from the plurality of 2D images of the patient's joint, the interior images corresponding to cross-section images of the neck of the femur and spaced apart by a positive distance;
estimating a center coordinate for each of the sequence of interior images of the neck of the femur, the center coordinate corresponding to a coordinate in a global coordinate system of the plurality of 2D images of the patient's joint;
calculating a best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur;
estimating a center coordinate and a diameter for an acetabulum feature of the patient from at least one of the plurality of 2D images of the patient's joint; and
an acetabulum cavity cup insert comprising a diameter corresponding to the estimated diameter for the acetabulum feature of the patient from at least one of the plurality of 2D images of the patient's joint, a center of the acetabulum cavity cup insert aligned with the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur;
wherein said best fit linear segment is determined by said computing device by minimizing an error function that provides a measure of an error between each of the center coordinate locations and the coordinates of said best fit linear segment as said best fit linear segment passes through a plurality of image slices along said neck of said femur.
9. The system of claim 8 wherein the global coordinate system of the plurality of 2D images of the patient's joint comprises a z-axis oriented approximately parallel to a longitudinal axis of the femur neck and an xy-plane oriented perpendicular to the z-axis and wherein the sequence of interior images of a neck of a femur is oriented perpendicular to the z-axis.
10. The system of claim 8 wherein the instructions, when executed by the processing device, further performs the operations of:
estimating a best fit linear segment for a shaft of the femur; and
calculating an azimuthal angle and a polar angle for the orientation of a direction of the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur relative to a direction of the best fit linear segment for a shaft of the femur.
11. The system of claim 10 further comprising a jig mechanism configured to align a cavity scraper in the patient's acetabulum cavity, the cavity scraper configured to remove at least one bony projection from an exposed surface of the acetabulum cavity.
12. The system of claim 11 wherein a center of the cavity scraper aligns with the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur.
13. The system of claim 10 wherein the instructions, when executed by the processing device, further performs the operations of: calculating an acetabulum cavity cup insert rotation angle relative to at least the calculated azimuthal angle and the polar angle, the acetabulum cavity cup insert rotation angle indicating an angle of rotation of the acetabulum cavity cup insert in the patient's acetabulum cavity.
14. The method of claim 10 wherein the instructions, when executed by the processing device, further performs the operations of:
calculating an acetabulum cavity cup insert tipping angle relative to at least the calculated azimuthal angle and the polar angle, the acetabulum cavity cup insert tipping angle indicating an orientation angle of the acetabulum cavity cup insert in the patient's acetabulum cavity.
15. A method for preparing an acetabulum cavity of a human hip joint, the method comprising: receiving a plurality of two-dimensional (2D) images of a patient's joint subject to the arthroplasty procedure at a computing device;
providing a sequence of interior images of a neck of a femur from the plurality of 2D images of the patient's joint, the interior images corresponding to cross-section images of the neck of the femur and spaced apart by a positive distance;
estimating a center coordinate for each of the sequence of interior images of the neck of the femur, the center coordinate corresponding to a coordinate in a global coordinate system of the plurality of 2D images of the patient's joint;
calculating a best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur;
estimating a center coordinate and a diameter for an acetabulum feature of the patient from at least one of the plurality of 2D images of the patient's joint; and
providing a jig mechanism configured to align a cavity scraper in the patient's acetabulum cavity, the cavity scraper configured to remove at least one bony projection from an exposed surface of the acetabulum cavity, the center of the cavity scraper aligned with the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur;
wherein said best fit linear segment is determined by said computing device by minimizing an error function that provides a measure of an error between each of the center coordinate locations and the coordinates of said best fit linear segment as said femur.
16. The method of claim 15 wherein the global coordinate system of the plurality of 2D images of the patient's joint comprises a z-axis oriented approximately parallel to a longitudinal axis of the femur neck and an xy-plane oriented perpendicular to the z-axis and wherein the sequence of interior images of the neck of the femur is oriented perpendicular to the z-axis.
17. The method of claim 16 further comprising:
estimating a best fit linear segment for a shaft of the femur; and
calculating an azimuthal angle and a polar angle for the orientation of a direction of the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur relative to a direction of the best fit linear segment for a shaft of the femur.
18. The method of claim 15 further comprising:
providing an acetabulum cavity cup insert comprising a diameter corresponding to the estimated diameter for the acetabulum feature of the patient from at least one of the plurality of 2D images of the patient's joint.
19. The method of claim 18 further comprising:
aligning the center of the acetabulum cavity cup insert with the best fit linear segment corresponding to at least two of the center coordinates for the sequence of interior images of the neck of the femur.