3D Shoulder Anatomy Modeling for Glenohumeral Engagement Analysis
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Solution Overview
Problem
Current surgical planning for shoulder dislocation is time-intensive, laborious, and prone to inconsistency due to the lack of effective assessment methods for the glenohumeral joint, which affects decision-making for procedures like soft tissue repair and joint replacement.
Innovation Solution
A method involving the use of 3D models of the shoulder anatomy, application of motion data, and generation of virtual objects to visualize and assess the glenohumeral joint, including kinematic data and virtual objects like glenoid projections, to determine joint characteristics and plan surgeries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surgeons manually visualize and assess shoulder anatomy using traditional methods, then they can evaluate joint stability and plan surgeries, but the process becomes time-intensive and laborious
Solution Approach 1:
The patent creates a virtual 3D copy of the patient's shoulder anatomy from imaging data, allowing digital manipulation and assessment without repeated manual examination. The virtual model replicates the physical anatomy, enabling infinite views and measurements without additional time cost.
Solution Approach 2:
The patent replaces manual mechanical assessment with automated computational algorithms that analyze the virtual 3D model. The system automatically evaluates joint stability, tracks engagement, and generates surgical plans through computer processing rather than manual surgical simulation.
2Reliability
If surgeons manually manipulate 3D models to assess shoulder anatomy, then they can evaluate joint characteristics, but the process becomes laborious and prone to inconsistency
Solution Approach 1:
The patent implements automated feedback mechanisms where the system continuously monitors and records joint engagement during virtual manipulation. The computer automatically detects and reports on stability metrics, ensuring consistent assessment results regardless of the operator's skill level or fatigue.
Solution Approach 2:
The patent transforms qualitative manual assessment into quantitative parameter measurement. The system automatically measures and reports specific parameters such as track engagement, joint stability scores, and kinematic data, replacing subjective manual evaluation with objective numerical data that ensures consistency.
3Ease of manufacture
If comprehensive assessment of glenohumeral joint is performed to determine surgical suitability, then surgical planning improves, but the assessment process becomes more complex
Solution Approach 1:
The patent divides the comprehensive shoulder assessment into separate modular components: virtual model generation, joint stability analysis, track engagement evaluation, and surgical planning modules. Each component can be processed and evaluated independently, making the overall complex assessment system more manageable and systematic.
Data Source
AI summary
Methods of assessing a patient shoulder anatomy is provided. The method includes receiving one or more 3D models based on the patient shoulder anatomy, applying motion data based on a glenohumeral joint to the one or more 3D models, and determining a track engagement of the glenohumeral joint based on the applied motion data. A computing system programmed to perform these methods is also described.