Endoscope Display Control for Tissue Abnormality Quantification
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Solution Overview
Problem
Conventional endoscope systems face challenges in visually detecting structural abnormalities like inflammation within epithelial tissues, as they struggle to effectively utilize color differences for accurate visualization and quantification of tissue abnormalities.
Innovation Solution
An endoscope system with a display control system that calculates and displays indices of abnormality by normalizing red, green, and blue pixel values, utilizing a wavelength-combined light source to enhance color contrast and generate a display image based on predetermined threshold values, allowing for the identification of abnormal tissue conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional endoscope imaging is used to detect tissue abnormalities, then the system structure remains simple, but the ability to visually detect structural abnormalities like inflammation within epithelial tissues is insufficient
Solution Approach 1:
The patent applies parameter changes by transforming the imaging parameters through specific image processing operations. The system calculates normalized color indices (such as green minus red, or blue minus yellow) from the captured image data, which transforms the original color information into abnormality-indicating parameters. This allows conventional endoscopes to detect abnormalities by changing how the data is processed and presented, rather than requiring complex hardware modifications.
2Measurement precision
If color information from object images is used directly for abnormality detection, then the system remains simple, but the quantitative presentation of abnormality degrees is insufficient
Solution Approach 1:
The patent transforms color information into quantitative abnormality indices by applying mathematical operations to pixel values. Specific indices are calculated such as the difference between green and red channel values, or blue and yellow composite values, normalized by a reference value. These transformed parameters provide quantitative measures of abnormality degree that can be displayed and compared, converting qualitative color information into measurable data without requiring complex additional hardware.
3Measurement precision
If conventional imaging displays object images without processing, then the display system remains simple, but the visual differentiation between normal and abnormal mucosa is insufficient
Solution Approach 1:
The patent applies color changes by processing the original color image data to generate new visual representations that emphasize abnormality. The system calculates abnormality indices based on color channel differences and displays these as overlaid information or as processed images with enhanced contrast. This transforms subtle color variations in the original image into visually distinct patterns that make abnormal mucosa easily distinguishable from normal tissue, while using only software-based processing.
Data Source
AI summary
An endoscope apparatus includes a display control system configured to calculate at least one index indicating a degree of abnormality of an object, according to a color included in an acquired object image, and to generate a display image in which the at least one index is identifiably displayed based on a predetermined threshold value that is set independently of the object image.