Navigation Array Motion Detection for Bone-Relative Surgical Accuracy
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Solution Overview
Problem
Computer-assisted surgical systems face accuracy issues due to navigation arrays moving relative to bones during surgery, which current methods fail to detect automatically and reliably without additional markers or increased procedural time.
Innovation Solution
A system that monitors landmarks on the bone using navigation arrays to detect movement exceeding a threshold, analyzing similarity with other arrays and employing machine learning to differentiate between array motion and other surgical motions, thereby indicating suspicious activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation arrays are rigidly attached to bones during surgery, then system accuracy is improved, but array movement may still occur due to surgical events impacting the attachment
Solution Approach 1:
The system continuously monitors the position of navigation arrays relative to bones using optical tracking and automatically detects when movement exceeds predefined thresholds, providing real-time feedback to alert surgical staff of potential attachment issues without requiring additional physical markers or interrupting the surgical workflow
2Reliability
If additional markers are added to detect array movement, then detection reliability is improved, but device complexity and procedural time increase
Solution Approach 1:
The system uses the existing navigation arrays and optical tracking infrastructure to self-monitor for movement by analyzing the relative positions of multiple arrays and bones, eliminating the need for additional detection markers or sensors while maintaining high detection reliability through computational analysis of spatial relationships
Solution Approach 2:
The optical tracking system serves multiple functions: it tracks surgical tool positions for navigation, monitors navigation array stability, and detects bone movement, allowing one system to perform multiple detection roles without requiring specialized additional markers for each function
3Measurement precision
If manual monitoring of navigation arrays is performed, then detection accuracy is improved, but productivity and surgical efficiency decrease
Solution Approach 1:
The system replaces manual visual monitoring and physical checks with an automated computational system that continuously analyzes optical tracking data to detect array movement, providing accurate real-time monitoring without requiring surgical staff to divert attention from the procedure
Solution Approach 2:
The automated detection system operates continuously throughout the surgical procedure, constantly monitoring array positions and detecting movement at any moment, whereas manual monitoring would require periodic interruptions and visual checks that break the continuity of surgical workflow
Data Source
AI summary
A system and method for detecting movement of a first navigation array relative to a bone during computer-assisted surgery, including: monitoring a location of a landmark on the bone using the first navigation array, wherein the landmark is at a first end of the bone and the first navigation array is adjacent to a second end of the bone; determining that the location of the landmark has moved a distance greater than a threshold value; and indicating suspicious activity when the distance is greater than the threshold value.