Automatic Patient Registration for Brain Shift Surgical Navigation
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Solution Overview
Problem
In image-guided surgery, particularly for glioma removal, brain shift causes pre-planned images to become unreliable due to anatomical structure modifications, necessitating manual registration processes that are undesirable and inaccurate.
Innovation Solution
A surgical navigation system that uses a registration process to collect intraoperative data, allowing for automatic registration and updating of the patient's position relative to the image space, eliminating the need for manual intervention and enhancing registration accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual registration process is used, then the system can maintain simplicity, but the registration accuracy and reliability deteriorate
Solution Approach 1:
The patent replaces the manual mechanical registration process with an automated image processing system. The system automatically registers preoperative images with intraoperative data by detecting anatomical landmarks, extracting features, and computing transformations, eliminating the need for manual surgeon intervention while improving registration accuracy and consistency.
Solution Approach 2:
The registration system performs self-service by automatically acquiring, processing, and registering images without requiring manual intervention. The system autonomously detects anatomical structures, extracts features, and computes spatial transformations, making the registration process independent of surgeon skill level and time requirements.
2Reliability
If manual intervention is required for registration, then the operation process remains simple, but the registration reliability and accuracy deteriorate
Solution Approach 1:
The patent replaces manual registration operations with an automated computational system that processes images, detects anatomical landmarks, and computes spatial transformations. This substitution improves reliability by eliminating human error and consistency variability while maintaining ease of operation through automated execution.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring the registration quality through feature matching and transformation validation. The system adjusts the registration process based on detected anatomical structures and their correspondence between preoperative and intraoperative images, ensuring reliable and consistent registration results.
3Reliability
If pre-planned images are used without updates, then the surgical planning remains straightforward, but the images become unreliable due to brain shift
Solution Approach 1:
The patent implements dynamic image updating by automatically re-registering preoperative images with current intraoperative data throughout the surgical procedure. The system continuously adapts the image database to account for brain shift and anatomical changes, maintaining image reliability without requiring manual re-planning and preserving surgical efficiency through automated updates.
Solution Approach 2:
The system performs preliminary automated registration of preoperative images with intraoperative data before the surgical procedure begins. This preliminary action establishes an accurate baseline relationship between images and patient anatomy that can be dynamically updated throughout the procedure, ensuring reliability while maintaining efficiency.
Data Source
AI summary
Disclosed is a system to register a subject, e.g., physical, space to an image space. The registration may be performed automatically by a registration system with a registration device. The registration device may acquire an image of a subject space.