Image Registration Device Using Unchanged Position Tracking
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Solution Overview
Problem
Current methods for registering simulation images with intraoperative images during surgery require expensive sensors and involve significant computational effort, making it difficult to quickly and efficiently superimpose simulation information onto intraoperative images.
Innovation Solution
An image registration device that obtains intraoperative images and simulation information, performs initial registration, and uses positional information from an unchanged position within the images to quickly update and display the simulation information superimposed on the intraoperative images, reducing computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are used to register simulation images with intraoperative images, then registration precision is improved, but device cost and complexity increase
Solution Approach 1:
The patent extracts and removes the sensor component from the registration system. Instead of using sensors to detect marker positions, the system uses image processing techniques to automatically detect and track markers in intraoperative images, thereby achieving registration without requiring expensive sensors while maintaining registration precision
Solution Approach 2:
The patent replaces the mechanical sensor-based detection system with an optical/image processing-based system. By using image analysis algorithms to detect marker positions and perform registration, the system eliminates the need for physical sensors, reducing device complexity and cost while maintaining measurement precision
2Measurement precision
If full image registration is performed on entire intraoperative images, then registration precision is improved, but computational time increases
Solution Approach 1:
The patent segments the registration process into two stages: initial registration using the entire intraoperative image to establish baseline alignment, and subsequent updates using only regions of interest (ROIs) around unchanged anatomical positions. This segmentation allows the system to maintain registration precision while significantly reducing computational time for real-time updates
Solution Approach 2:
The patent applies partial action by performing full-image registration only once initially, then using partial image processing (ROI-based) for subsequent updates. This approach achieves sufficient registration precision for surgical guidance while minimizing computational time and resource usage during the surgery
3Measurement precision
If markers are placed on the part being operated on for registration, then registration precision is improved, but surgical interference increases
Solution Approach 1:
The patent uses markers as intermediary objects that facilitate registration without directly interfering with surgery. These markers are detected automatically by image processing algorithms, allowing the surgical team to focus on the procedure while the system handles marker detection and registration in the background, thus maintaining precision while minimizing interference
Data Source
AI summary
An initial registration unit performs initial registration between an intraoperative image and simulation information. A positional information obtaining unit obtains positional information indicating a relative positional difference between the intraoperative image after the initial registration and a newly obtained intraoperative image based on an unchanged position which is not changed during surgery included in the intraoperative images. A superimpose display unit registers the simulation information with the new intraoperative image based on the positional information and displays, on a display, the simulation information superimposed on the new intraoperative image.