Arthroplasty Jig Planning via Virtual Bone Model Superimposition
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Solution Overview
Problem
Current methods for producing customized arthroplasty jigs are inefficient due to manual manipulation of bone models on computer screens, leading to increased time, manpower, and costs, and require improvement in accuracy for precise implant alignment during arthroplasty procedures.
Innovation Solution
A method involving the use of computer-generated modified bone and non-bone tissue data from medical imaging to create a virtual model, which is then used to manufacture a customized arthroplasty jig with a registration surface and resection guide, allowing for accurate alignment and implant placement, reducing manual intervention and enhancing precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual manipulation of bone models on computer screens is used, then flexibility in surgical planning is maintained, but time consumption and labor costs increase significantly
Solution Approach 1:
The system performs preliminary automated processing of medical imaging data to generate 3D bone models and pre-calculate resection parameters before the surgical procedure. This advance preparation eliminates time-consuming manual manipulation during surgery while maintaining surgical flexibility through pre-computed multiple resection scenarios.
Solution Approach 2:
The system creates digital 3D copies of patient-specific bone structures from medical imaging data. These virtual bone models serve as accurate replicas that can be manipulated and analyzed computationally without requiring physical handling of actual bone specimens or time-consuming manual measurements.
2Manufacturing precision
If customized arthroplasty jigs are manufactured with high precision, then implant alignment accuracy improves, but manufacturing complexity and costs increase
Solution Approach 1:
The system applies local quality by creating patient-specific customized jigs that precisely match the unique anatomical features of each patient's bone structure. The jigs incorporate patient-specific surface geometry and tailored resection guides that address individual anatomical variations, achieving high implant alignment accuracy without requiring complex universal fixtures.
Solution Approach 2:
The system performs preliminary computational planning to determine optimal resection parameters and jig geometry before manufacturing. By pre-calculating all necessary measurements and configurations from 3D bone models, the system simplifies the actual manufacturing process while ensuring high precision in the final customized jig production.
3Measurement precision
If comprehensive medical imaging data is processed, then surgical planning accuracy improves, but data processing time and computational resources increase
Solution Approach 1:
The system extracts and processes only the essential anatomical features and measurement parameters needed for surgical planning from comprehensive medical imaging data. By selectively extracting relevant bone surface geometry, joint alignment, and resection plane information rather than processing all imaging data, the system achieves high surgical planning accuracy with reduced processing time.
Solution Approach 2:
The system segments the comprehensive medical imaging data into distinct anatomical regions and feature sets that can be processed independently. This segmentation allows parallel computation of different bone structures and measurement parameters, improving processing efficiency while maintaining comprehensive surgical planning accuracy.
Data Source
AI summary
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.