Surgical Navigation Array Motion Detection From Bone Landmark Drift
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Solution Overview
Problem
Computer-assisted surgical systems face accuracy issues due to navigation arrays moving relative to bones during surgeries, which current methods fail to detect automatically and efficiently without additional markers or increased procedural time.
Innovation Solution
A method for detecting navigation array movement relative to bones using landmark motion analysis, involving monitoring landmarks and navigation arrays, and employing machine learning models to differentiate array motion from other system motions, thereby maintaining surgical precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation arrays are rigidly attached to bones during surgery, then surgical accuracy is maintained, but undetected array movement still occurs causing errors
Solution Approach 1:
The system continuously monitors landmark positions and compares them against expected positions to detect array movement. This feedback mechanism provides real-time information about array stability without requiring additional markers, resolving the contradiction between maintaining surgical accuracy and detecting array movement errors.
Solution Approach 2:
The navigation system uses its existing landmark monitoring capability to simultaneously perform both navigation and array movement detection functions. By analyzing landmark position changes that should not occur in rigidly attached arrays, the system self-diagnoses array stability without requiring separate detection mechanisms, thus maintaining accuracy while preventing undetected errors.
2Difficulty of detecting and measuring
If additional markers are added to detect array movement, then detection capability is improved, but device complexity and surgical time increase
Solution Approach 1:
The existing landmark monitoring system, originally designed for navigation, is enhanced to simultaneously detect array movement by analyzing unexpected landmark position changes. This multi-functionality approach improves detection capability without adding separate markers or devices, thereby avoiding increased complexity and surgical time while maintaining the ability to detect array movement.
3Ease of operation
If traditional navigation systems are used without motion analysis, then procedural simplicity is maintained, but array movement errors go undetected reducing surgical precision
Solution Approach 1:
The system incorporates automated feedback analysis of landmark motion patterns to detect array movement. This feedback mechanism maintains procedural simplicity by integrating into the existing navigation workflow while significantly improving surgical precision through automatic detection and alerting of array movement errors that would otherwise go unnoticed.
Solution Approach 2:
The system replaces manual verification methods with automated computer-based analysis of landmark motion. This substitution maintains ease of operation by eliminating manual checks while improving surgical precision through continuous automated monitoring and detection of array movement using machine learning models.
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.