Patient-Specific Arthroplasty Guide Using MRI Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current arthroplasty procedures face challenges in achieving accurate implant alignment, leading to potential post-surgery pain and limited mobility due to translational or rotational misalignment, necessitating a system for generating customized arthroplasty jigs that can restore the pre-deteriorated joint alignment of patients.
Innovation Solution
A method and system for manufacturing customized arthroplasty resection guides that utilize MRI imaging to create 3D models of patient-specific bone structures, allowing for precise planning and production of jigs that align implants according to natural, zero-degree mechanical axis, or intermediate alignments, based on physician input, ensuring accurate joint reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional arthroplasty procedures are used without customized jigs, then the surgical procedure is simpler and faster to perform, but implant alignment accuracy deteriorates leading to post-surgery pain and limited mobility
Solution Approach 1:
The system performs preoperative planning and creates customized resection guides before the actual surgery. MRI imaging and 3D modeling are completed in advance, allowing the surgical plan and alignment strategy to be determined beforehand, which ensures accurate implant placement during the procedure without requiring complex real-time adjustments
Solution Approach 2:
The system creates a digital 3D copy of the patient's bone anatomy from MRI images. This virtual model is used to plan the surgery and design customized guides that replicate the patient's specific anatomical features, enabling precise alignment without requiring the surgeon to work with complex physical templates during surgery
2Manufacturing precision
If customized arthroplasty jigs are manufactured for each patient, then implant alignment accuracy is improved, but the manufacturing time and complexity increase
Solution Approach 1:
The system transforms the manufacturing approach by changing from traditional mechanical jig fabrication to additive manufacturing (3D printing). This parameter change in the manufacturing process enables complex customized guides to be produced rapidly with high precision, reducing both manufacturing time and complexity while maintaining excellent alignment accuracy
Solution Approach 2:
The system replaces traditional mechanical measurement and layout methods with computer-aided design and 3D modeling. The digital planning process substitutes manual calculations and physical template fabrication with automated software algorithms, significantly reducing the time required to create accurate surgical guides
3Manufacturing precision
If preoperative planning with MRI imaging is performed, then alignment accuracy is improved, but the cost and complexity of the procedure increase
Solution Approach 1:
The MRI imaging system and 3D modeling software serve multiple functions: they capture anatomical data for creating customized guides, plan the surgical approach, determine implant positioning, and provide a virtual rehearsal of the procedure. This multi-functionality justifies the investment in imaging technology by eliminating the need for separate planning tools and procedures
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
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.