Preoperatively planning an arthroplasty procedure and generating a corresponding patient specific arthroplasty resection guide
First Claim
1. A method of manufacturing a custom arthroplasty resection guide, the method comprising:
- generating MRI knee coil two dimensional images, wherein the knee coil images include a knee region of a patient;
generating MRI body coil two dimensional images, wherein the body coil images include a hip region of the patient, the knee region of the patient and an ankle region of the patient;
in the knee coil images, identifying first locations of knee landmarks;
in the body coil images, identifying second locations of the knee landmarks; and
running a transformation with the first and second locations, causing the knee coil images and body coil images to generally correspond with each other with respect to location and orientation.
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Abstract
Methods of manufacturing a custom arthroplasty resection guide or jig are disclosed herein. For example, one method may include: generating MRI knee coil two dimensional images, wherein the knee coil images include a knee region of a patient; generating MRI body coil two dimensional images, wherein the body coil images include a hip region of the patient, the knee region of the patient and an ankle region of the patient; in the knee coil images, identifying first locations of knee landmarks; in the body coil images, identifying second locations of the knee landmarks; run a transformation with the first and second locations, causing the knee coil images and body coil images to generally correspond with each other with respect to location and orientation.
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Citations
11 Claims
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1. A method of manufacturing a custom arthroplasty resection guide, the method comprising:
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generating MRI knee coil two dimensional images, wherein the knee coil images include a knee region of a patient; generating MRI body coil two dimensional images, wherein the body coil images include a hip region of the patient, the knee region of the patient and an ankle region of the patient; in the knee coil images, identifying first locations of knee landmarks; in the body coil images, identifying second locations of the knee landmarks; and running a transformation with the first and second locations, causing the knee coil images and body coil images to generally correspond with each other with respect to location and orientation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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Specification