3D Bone Resection Planning for Accurate Arthroplasty Registration
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Solution Overview
Problem
Current preoperative planning methods for robotic and robotic-assisted orthopedic joint replacement surgery lack refinement in determining resection planes, implant sizes, and orientations, leading to inefficiencies and potential inaccuracies.
Innovation Solution
A method for generating resection plane data using three-dimensional patient bone models, identifying key vertices and landmarks, and utilizing navigation systems to guide robotic surgery, including techniques for adjusting resection depths and implant positioning based on patient-specific data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional preoperative planning methods are used, then the surgical procedure can be performed, but the accuracy of bone resections and implant placement is insufficient
Solution Approach 1:
The patent creates a three-dimensional computer model of the patient's bone structure based on medical imaging data (CT scans, MRI, or X-rays). This virtual copy allows precise simulation and planning of bone resections and implant placements without directly manipulating the actual bone, thereby improving accuracy while managing complexity through digital representation
Solution Approach 2:
The system performs preoperative planning and simulation before the actual surgery. By calculating optimal resection planes, depths, and implant positions in advance using the three-dimensional model, the surgical team can execute the procedure with higher precision. The system determines resection depths and implant orientations prior to incision, allowing the actual surgery to follow a pre-validated plan
2Reliability
If preoperative planning is performed, then the effectiveness of the procedure is increased, but the overall time of the procedure increases
Solution Approach 1:
The three-dimensional bone model and resection planning are completed before the surgical day. By pre-calculating optimal resection planes and depths, and pre-positioning virtual implant models, the actual surgery time is reduced despite the added preoperative planning phase. The planning work is done in advance, not during the operation
Solution Approach 2:
The system automates the generation of the three-dimensional bone model from standard medical imaging data, and automatically calculates resection parameters and implant positions. This automation reduces the manual time required for planning while maintaining high effectiveness, as the computer performs complex geometric calculations and optimization without requiring extensive manual measurement and drawing
3Productivity
If robotic systems are used, then the intraoperative time is reduced, but the precision of resection planes and implant placement requires more sophisticated preoperative planning
Solution Approach 1:
The patent creates a three-dimensional computer model of the patient's bone structure based on medical imaging data (CT scans, MRI, or X-rays). This virtual copy allows precise simulation and planning of bone resections and implant placements without directly manipulating the actual bone, thereby improving accuracy while managing complexity through digital representation
Solution Approach 2:
The system allows dynamic adjustment of resection depths, implant sizes, and orientations within the three-dimensional model. By changing parameters such as resection plane angles, depths, and implant positions in the virtual model, the system can optimize the surgical plan for robotic execution. The model can be modified to account for different implant sizes and positions, and the system automatically recalculates resection parameters
Data Source
AI summary
Aspects of the disclosure may involve a method of generating resection plane data for use in planning an arthroplasty procedure on a patient bone. The method may include: obtaining patient data associated with at least a portion of the patient bone, the patient data captured using a medical imaging machine; generating a three-dimensional patient bone model from the patient data, the patient bone model including a polygonal surface mesh; identifying a location of a posterior point on the polygonal surface mesh; creating a three-dimensional shape centered at or near the location; identifying a most posterior vertex of all vertices of the polygonal surface mesh that may be enclosed by the three-dimensional shape; using the most posterior vertex as a factor for determining a posterior resection depth; and generating resection data using the posterior resection depth, the resection data configured to be utilized by a navigation system during the arthroplasty procedure.