Optical Tracking for Surgical Registration Accuracy
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Solution Overview
Problem
During surgical procedures, there is a need to monitor patient movement relative to the operating table and surgical robots to ensure accurate registration and prevent unintended movement that could lead to inaccurate surgical procedures.
Innovation Solution
A system comprising first and second tracking devices affixed to a table and an anatomical element or a robot, respectively, with a processor that compares datasets containing information about these tracking devices to detect changes in their relative pose, generating notifications for verification steps when movement is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patient position is monitored continuously during surgical procedure, then surgical accuracy is improved, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical tracking systems with optical imaging technology. The navigation system uses optical cameras and image processing to track the position of anatomical elements and surgical tools, substituting mechanical sensors and actuators with a vision-based system that achieves high measurement precision while reducing mechanical complexity
Solution Approach 2:
The patent creates a virtual copy of the patient's anatomy through preoperative imaging and registration. This digital model is then used to track and monitor actual anatomical positions during surgery by comparing real-time optical images with the preoperative model, enabling continuous monitoring without adding physical tracking devices to the patient
2Measurement precision
If relative pose changes are detected between tracking devices, then patient movement is monitored accurately, but data processing time increases
Solution Approach 1:
The patent performs preoperative imaging, registration, and model creation before the surgical procedure begins. This preliminary setup establishes the coordinate systems and tracking relationships in advance, so that during surgery only simple image capture and comparison are needed, enabling rapid detection of pose changes with minimal real-time processing
Solution Approach 2:
The navigation system captures optical images at periodic intervals rather than continuously, comparing each new image with the previous one to detect pose changes. This periodic sampling approach maintains accurate movement detection while significantly reducing data processing requirements compared to continuous high-frequency capture
Data Source
AI summary
Systems and methods for monitoring patient movement are provided. A first dataset containing information about a first tracking device and a second tracking device may be received. A second dataset containing information about the first tracking device and the second tracking device may be received. The first dataset and the second dataset may be compared to determine if a relative pose of the first tracking device and the second tracking device has changed. A notification may be generated when the relative pose of the first tracking device and the second tracking device has changed.