Endoscope Image Prioritization for Multi-Region Size Display
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Solution Overview
Problem
Existing medical imaging systems struggle to efficiently prioritize and display the sizes of multiple observation target regions in a medical image, leading to inefficiencies and potential confusion for medical professionals.
Innovation Solution
A medical support device and method that utilize AI-based image processing to recognize positions and determine priorities of observation target regions, measuring their sizes and displaying them in a prioritized manner, with the ability to switch sizes based on user instructions and using a dual-display format for enhanced visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple observation target regions are displayed simultaneously in a medical image, then comprehensive information is provided, but the user cannot efficiently grasp the size of high-interest regions and becomes confused
Solution Approach 1:
The patent segments the display of multiple observation target regions by prioritizing them and presenting size information sequentially rather than simultaneously. The processor outputs size information in the order of priority, allowing users to focus on high-priority regions first without being overwhelmed by all regions at once, thus resolving the contradiction between providing complete information and maintaining ease of operation.
2Measurement precision
If all observation target regions are measured and displayed, then complete size information is obtained, but the processing time and system response delay increase
Solution Approach 1:
The system performs preliminary prioritization of observation target regions based on their positions and characteristics before measuring sizes. By determining the priority order in advance and then measuring sizes sequentially in that predetermined order, the system reduces processing time while ensuring that high-priority regions are measured first, thus resolving the contradiction between measurement completeness and processing time.
3Reliability
If the system processes and displays size information for all regions, then comprehensive analysis is achieved, but the device complexity and processing load increase
Solution Approach 1:
The patent applies local quality by differentiating the processing treatment for different regions based on their priority. Instead of uniformly processing all regions with the same complexity, the system focuses computational resources on high-priority regions first, then progressively handles lower-priority regions. This selective processing approach maintains analysis comprehensiveness for critical regions while reducing overall processing system complexity.
Data Source
AI summary
A medical support device includes a processor. The processor is configured to recognize, based on a medical image in which a plurality of observation target regions appear, positions of the plurality of observation target regions in the medical image, determine a priority of the plurality of observation target regions, based on the positions, measure sizes of the plurality of observation target regions, and output the sizes in accordance with the priority.


