Automated Bone Model Segmentation for Precise Arthroplasty Planning
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Solution Overview
Problem
Current methods for generating customized arthroplasty jigs are inefficient and labor-intensive, relying on manual manipulation of bone models on a computer screen, which increases time, manpower, and costs, and can lead to inaccuracies in implant alignment during arthroplasty procedures.
Innovation Solution
A system and method for image segmentation that involves obtaining volumetric image slices of bones, generating spline curves, and creating a 3D mesh representation to preoperatively plan surgical procedures, allowing for accurate determination of resection coordinates and implant alignment, thereby reducing manual intervention and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual manipulation of bone models is used, then flexibility in surgical planning is maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system performs preliminary automated segmentation of bone models and pre-calculation of resection coordinates before the surgical procedure. This prepares the surgical plan in advance, reducing time consumption during the actual surgery while maintaining the surgeon's ability to make final adjustments.
Solution Approach 2:
The patent introduces a computer-based image processing system as an intermediary between the surgeon and the bone model manipulation. This intermediary automates routine tasks like segmentation and coordinate calculation, freeing the surgeon to focus on high-level decision-making while reducing overall time consumption.
2Ease of operation
If manual manipulation of bone models is used, then surgeon control is maintained, but accuracy in implant alignment deteriorates
Solution Approach 1:
The patent replaces manual mechanical manipulation of bone models with automated computer-based image processing algorithms. This substitution eliminates human error in measurements and calculations, significantly improving the accuracy of implant alignment coordinates while preserving surgeon control through software-based adjustment capabilities.
Solution Approach 2:
The system creates precise digital copies of the patient's bone structures through image segmentation. These accurate digital replicas serve as the basis for calculating resection coordinates, ensuring high precision in implant alignment while allowing the surgeon to review and adjust the plan.
3Productivity
If automated image segmentation is implemented, then productivity in generating arthroplasty jigs increases, but system complexity increases
Solution Approach 1:
The patent applies segmentation to both the physical task (dividing jig generation into discrete steps) and the technical implementation (breaking down image processing into modular algorithms). This modular approach increases productivity by automating each segment while managing system complexity through organized, reusable components.
Solution Approach 2:
The system implements self-service through automated image segmentation algorithms that process bone models without requiring manual intervention for each measurement and calculation. This automation dramatically increases productivity while the standardized algorithms keep system complexity manageable.
Data Source
AI summary
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.