Multi-Bone Surgical Planning for Accurate Orthopaedic Implant Positioning
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Solution Overview
Problem
Existing surgical planning systems lack the ability to accurately categorize patient populations, perform range of motion simulations, and generate precise surgical plans for orthopedic procedures, particularly in preoperative, intraoperative, and postoperative stages, leading to suboptimal joint restoration outcomes.
Innovation Solution
A surgical planning system that categorizes patients into anatomical makeup classifications, performs range of motion simulations, and generates surgical plans using three-dimensional bone models, allowing for precise implant positioning and adjustment based on patient-specific data and anatomical variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional surgical planning methods are used, then the surgical process is simpler and faster to execute, but the accuracy of implant positioning and range of motion prediction is insufficient
Solution Approach 1:
The system segments the surgical planning process into distinct modules: bone model generation from imaging data, anatomical classification based on geometric parameters, range of motion simulation through virtual assembly, and implant positioning optimization. Each module handles a specific aspect of the planning process, improving overall precision while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system performs preliminary actions by generating detailed three-dimensional bone models and conducting virtual range of motion simulations before the actual surgery. Implant positions are pre-determined through computational optimization, allowing surgeons to execute the planned procedure with high precision without requiring complex intraoperative adjustments.
2Reliability
If patient-specific surgical plans are created using detailed simulations, then surgical outcomes are improved, but the time required for surgical planning increases
Solution Approach 1:
The system changes parameters by categorizing patients into anatomical groups based on key geometric parameters of their bone structures. Once categorized, pre-computed range of motion data and implant positioning recommendations specific to each anatomical class can be applied, significantly reducing planning time while maintaining high reliability through patient-specific customization within the selected category.
Solution Approach 2:
The system creates simplified copies or representations of patient-specific anatomy through standardized anatomical classifications. These categorical models serve as efficient proxies that capture the essential geometric characteristics needed for accurate surgical planning, enabling rapid retrieval of appropriate surgical parameters without requiring full detailed simulation for every patient.
3Adaptability or versatility
If comprehensive anatomical data is collected and analyzed, then personalized surgical plans are achieved, but the complexity of data processing increases
Solution Approach 1:
The data processing system segments comprehensive anatomical data into distinct geometric parameters and structural features that define anatomical classifications. By dividing the complex dataset into manageable parameter groups (such as bone shape characteristics, joint geometry, and spatial relationships), the system achieves personalized surgical planning through systematic analysis without overwhelming processing complexity.
Data Source
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AI summary
A surgical planning system may be configured to predict a relationship between two or more bones, including adjoining and/or non-adjoining bones of a patient. The system may be configured to select a representative bone model associated with a bone in response to comparing the representative bone model to a patient bone model associated with the bone of a patient. The system may be configured to determine at least one patient characteristic based on a relationship of the representative and/or patient bone model to another bone model, which may be associated with an adjoining or non-adjoining bone. A method of planning a surgical procedure is also disclosed.