Medical Image Overlay Using Geometric Landmark Matching
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Solution Overview
Problem
Current image-guided surgical systems face challenges in accurately overlaying preoperative planning data onto intraoperative images due to differences in patient positioning and conditions between preoperative imaging and surgery, leading to inaccuracies in orientation and location alignment, especially for procedures like IOL placement.
Innovation Solution
A method involving a computing device to determine matching locations between preoperative and intraoperative images by using feature pairs and geometric relationships, such as triangle similarity, to ensure accurate alignment of anatomical features, thereby improving the accuracy of overlaying guidance information during surgeries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If preoperative images are used for surgical guidance, then planning information is available, but alignment accuracy deteriorates due to patient positioning and condition changes
Solution Approach 1:
The system performs preliminary action by capturing images and identifying anatomical landmarks during the surgical procedure itself, before the actual surgical intervention begins. This allows the registration process to be based on intraoperative conditions rather than preoperative conditions, eliminating the mismatch caused by patient positioning and physiological changes that occur between preoperative imaging and surgery.
2Ease of operation
If feature pairs are used for image mapping, then alignment can be achieved, but accuracy deteriorates due to image distortions from surgical interventions
Solution Approach 1:
The system extracts only the essential anatomical landmarks that remain stable and identifiable throughout the surgical procedure. By selecting specific, distortion-resistant landmarks (such as bony structures or fixed anatomical features) rather than using all image features, the system maintains mapping capability while achieving high accuracy despite the presence of surgical distortions from liquids, tubes, and tools.
Data Source
AI summary
Methods and systems for displaying an image of a medical procedure (e.g., an intraoperative image) with additional information (e.g., data) that can augment the image of the medical procedure are provided. Augmenting the image can include overlaying data from a first image to a second image. Overlaying the data can involve determining, for a point or multiple points in the first image, a matching location or multiple matching locations in a second image. The first image and the second image can be of a patient. Determining the matching location can involve using a rotation and scale invariant geometrical relationship. The matching locations can be used as the basis for the overlay.