Intestinal Valve Segmentation and Marking for Colonoscopy Imaging
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Solution Overview
Problem
During colonoscopy, the large number and diverse morphology of intestinal valves, along with lens movement or angle changes, lead to low efficacy in tracking and marking these valves due to morphological changes and distortions.
Innovation Solution
A system comprising a processor and storage device that performs intestinal valve segmentation and marking in multiple images, using intersection over union (IOU) matching and segmentation models to identify and track independent intestinal valves, and applies marks to indicate lesions and order valves by appearance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intestinal valves are tracked and marked during colonoscopy, then diagnostic accuracy is improved, but tracking efficacy deteriorates due to lens movement and morphological changes
Solution Approach 1:
The system segments the intestinal valve from the background in each image frame, creating a separate mask that can be independently tracked. This segmentation allows the valve to be distinguished from moving background elements, maintaining tracking reliability despite lens movement and morphological changes.
Solution Approach 2:
The system performs preliminary matching between segmented valves in consecutive frames before final marking. By pre-identifying and tracking valve positions across multiple frames, the system establishes reliable tracking data that can withstand intermediate morphological changes and lens movements.
2Measurement precision
If multiple intestinal images are processed for valve identification, then marking accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary segmentation and matching operations on multiple images before final marking. By pre-processing images to identify and track valves across frames, the system reduces the computational burden during final marking while maintaining high accuracy through multi-image analysis.
Solution Approach 2:
The system continuously processes images in sequence, maintaining active tracking of identified valves across frames. This continuous processing allows the system to leverage information from previous frames, improving marking accuracy while optimizing processing efficiency through incremental updates rather than complete re-analysis.
Data Source
AI summary
The present disclosure may provide a marking system for intestinal valve imaging. The marking system may obtain multiple intestinal images of an examined object. The marking system may perform intestinal valve segmentation on at least a portion of the multiple intestinal images to determine at least one independent intestinal valve. The marking system may also mark the at least one independent intestinal valve in the at least a portion of the multiple intestinal images.