Surgical Navigation Registration Correction via Dynamic Overlay
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Solution Overview
Problem
Current surgical navigation systems face challenges in accurately measuring and correcting registration accuracy during procedures, as existing methods rely on a one-time confidence criterion and cannot readily identify or correct misalignment between virtual and actual physical states, especially with non-uniform tissue displacement.
Innovation Solution
A system and method for dynamic validation and correction of registration, utilizing a tracking mechanism and computer-controlled visualization to overlay virtual images onto intra-operatively acquired imaging, allowing for real-time detection and intuitive correction of registration errors through local tissue characteristics and live video streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a one-time confidence criterion is used for registration validation, then the system is simple to operate, but registration accuracy cannot be dynamically monitored or corrected during the procedure
Solution Approach 1:
The system implements continuous feedback by comparing the position and orientation of physical objects in the surgical field with their virtual representations in real-time. This feedback loop enables dynamic monitoring of registration accuracy and automatic detection of misalignment, allowing corrections to be made during the procedure rather than relying on a one-time validation.
Solution Approach 2:
The system performs preliminary registration validation by establishing the initial alignment between physical and virtual coordinate frames before the surgical procedure begins. This preliminary action creates a baseline registration that can then be dynamically monitored and corrected throughout the procedure, rather than waiting for problems to arise.
2Adaptability or versatility
If global corrections are applied to registration errors, then the correction process is simplified, but non-uniform tissue displacement cannot be accommodated
Solution Approach 1:
The system applies local corrections to registration errors by identifying specific regions where misalignment occurs and correcting only those areas. This is achieved by tracking multiple landmarks and instruments independently, allowing each to be corrected based on its local displacement rather than applying a uniform global transformation to the entire surgical field.
Solution Approach 2:
The correction system segments the surgical field into multiple tracked entities (landmarks, instruments, tissue regions) that can be independently monitored and corrected. This segmentation allows the system to handle non-uniform tissue displacement by treating each segment separately rather than as a single rigid body.
3Difficulty of detecting and measuring
If visual overlay of virtual and real images is used for registration validation, then misalignment can be readily detected, but the system requires complex tracking and imaging integration
Solution Approach 1:
The system uses visual overlay as an intermediary representation that combines virtual and real images to make misalignment detection intuitive. By superimposing the virtual coordinate frame onto the real surgical field view, the system creates a visual mediator that clearly shows discrepancies between registered and actual positions without requiring complex quantitative measurements.
Solution Approach 2:
The system replaces complex mechanical measurement methods with optical and computational approaches. Instead of using physical measurement devices to quantify registration accuracy, the system uses image processing, computer vision, and graphical overlay techniques to detect and visualize misalignment, simplifying the detection process.
Data Source
AI summary
A system and method for dynamic validation, registration correction for surgical navigation during medical procedures involving confirmation of registration between previously registered virtual objects, in a common coordinate frame of a surgical navigation system and an operating room, and intra-operatively acquired imaging during the medical procedure in the common coordinate frame. The method involves displaying intra-operatively acquired imaging of the surgical field, containing the real objects corresponding to the previously registered virtual objects, with the real objects being tracked by a tracking system. The method involves overlaying a virtual image containing the previously registered virtual objects onto the intra-operatively acquired imaging, from the point of view of the intra-operatively acquired imaging, and detecting any misalignment between any the previously registered virtual objects contained in the virtual image and its corresponding real object contained in the intra-operatively acquired imaging.