Parallel Endoscope Image Analysis for Missed Region Detection
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Solution Overview
Problem
Existing endoscope systems often overlook regions-of-interest due to inadequate diagnostic support information generated from different types of endoscope images, leading to potential misdiagnosis.
Innovation Solution
An image analysis processing apparatus that performs parallel image analysis on multiple types of endoscope images, acquired with varying illumination lights and enhancement processes, to generate and display comprehensive diagnostic support information, ensuring no region-of-interest is overlooked.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single type of endoscope image is used for analysis, then the analysis process is simple and fast, but critical regions may be overlooked and diagnostic accuracy decreases
Solution Approach 1:
The patent segments the image analysis process by dividing it into multiple independent analysis channels, each dedicated to processing a specific type of endoscope image (white light image, IEE image, etc.). Each channel performs image analysis independently using appropriate analysis conditions for that image type, then integrates the results. This segmentation allows comprehensive analysis of multiple image types without overwhelming complexity in a single monolithic process.
Solution Approach 2:
The patent creates a universal image analysis system that can handle multiple types of endoscope images through a common control unit that manages different analysis conditions. The system is designed to be multi-functional by accommodating various image types (white light, IEE, etc.) and applying different analysis algorithms appropriate for each type, while maintaining a unified interface and result integration mechanism.
2Reliability
If multiple types of endoscope images are analyzed in parallel, then comprehensive diagnostic information is obtained and no region is overlooked, but the processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring specific analysis conditions for each type of endoscope image before the actual analysis begins. The control unit stores multiple sets of analysis conditions corresponding to different image types (white light, IEE, etc.), and automatically selects and applies the appropriate pre-configured conditions for each image type. This preparation in advance enables efficient parallel processing without requiring complex real-time decision-making during analysis.
Data Source
AI summary
There is provided an image analysis processing apparatus including a processor, in which the processor acquires a plurality of types of analysis images used in image analysis, performs the image analysis on the analysis image in parallel for each type of analysis image, acquires a plurality of analysis results through the image analysis, and performs control of displaying, on a display, an analysis result display based on the plurality of analysis results and a display image based on at least one type of analysis image among the plurality of types of analysis images.


