Patient Registration Deviation Detection in Computer-Assisted Surgery
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Solution Overview
Problem
Existing methods for monitoring the validity of patient registration in computer-assisted surgery are time-consuming, error-prone, and fail to recognize positional deviations in three-dimensional space, particularly in directions perpendicular to the image plane.
Innovation Solution
A computer-implemented method that continuously monitors the spatial position of a contour of a rigid anatomical structure in three-dimensional space, using acquired image data, registration data, and observation data to detect any spatial deviations that may indicate an invalidated patient registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If repeated registrations are performed in predefined time intervals to monitor patient registration validity, then registration accuracy can be maintained, but the procedure becomes time-consuming and reduces productivity
Solution Approach 1:
The system performs continuous monitoring of the anatomical structure's spatial position throughout the surgical procedure rather than performing discrete repeated registrations. The contour detection and spatial position checking occur continuously, ensuring registration validity is maintained without interrupting the surgical workflow for re-registration.
Solution Approach 2:
The manual repeated registration process is replaced by an automated optical monitoring system that continuously tracks the spatial position of anatomical contours using image processing and computer vision algorithms, eliminating the need for manual re-registration operations.
2Device complexity
If two-dimensional image data is used to monitor registration validity, then the monitoring process is simplified, but positional deviations in directions perpendicular to the image plane remain unrecognized
Solution Approach 1:
The system transitions from two-dimensional image analysis to three-dimensional spatial position monitoring by detecting the contour in three-dimensional space and tracking its spatial coordinates (x, y, z) over time, enabling detection of deviations in all three dimensions including directions perpendicular to any single image plane.
3Reliability
If manual repeated registration is performed to detect spatial deviations, then comprehensive monitoring is achieved, but the process becomes error-prone and time-consuming
Solution Approach 1:
The system performs self-monitoring by automatically detecting the contour, calculating its spatial position, comparing it against the registered position, and identifying deviations without requiring manual intervention. The computer-implemented method autonomously executes the entire monitoring process, eliminating human error and time consumption associated with manual repeated registrations.
4Reliability
If continuous three-dimensional monitoring of contour spatial position is implemented, then registration validity is reliably detected, but the system complexity increases
Solution Approach 1:
The system uses a multi-functional approach where the same imaging and processing infrastructure serves both initial registration and continuous monitoring functions. The contour detection and spatial calculation algorithms are reused across different stages of the surgical procedure, reducing the need for separate dedicated monitoring hardware and simplifying the overall system architecture.
Data Source
AI summary
The disclosed method relates to an approach of monitoring validity of a patient registration, wherein a contour of a rigid anatomical structure is initially determined in three-dimensional space, and its spatial position is constantly checked afterwards so as to detect a possible spatial deviation of the contour which may indicate an invalidated patient registration.