Endoscope System Superimposing Feature Amount Distribution Images
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Solution Overview
Problem
Current endoscope systems are unable to efficiently display multiple types of non-healthy sites with different ranges of living substance feature amounts in a single observation, increasing procedure time and patient burden.
Innovation Solution
An endoscope system that includes a light source device emitting multiple wavelength bands, an imaging unit generating color image data, a processor calculating feature amounts like hemoglobin and oxygen saturation, and an image display device superimposing feature amount distribution images on the tissue, allowing identification of multiple non-healthy sites with distinct feature ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the endoscope system displays only a single type of non-healthy site distribution, then the image display is simple and easy to interpret, but multiple types of non-healthy sites cannot be identified in one observation
Solution Approach 1:
The image display control unit segments the feature amount distribution into multiple distinct distributions, each corresponding to a different type of non-healthy site. By dividing the overall distribution into separate identifiable components, the system enables simultaneous identification of multiple non-healthy site types while maintaining clear visual interpretation through distinct graphical representations for each distribution type.
2Productivity
If the endoscope system performs multiple separate observations to identify different non-healthy sites, then each observation can be focused and simple, but the procedure time increases and patient burden increases
Solution Approach 1:
The system merges multiple distribution images representing different non-healthy site types into a single composite display. This combining approach allows the identification of multiple non-healthy site types in one observation, eliminating the need for multiple separate observations and thereby reducing procedure time and patient burden while maintaining focused analysis capabilities.
3Measurement precision
If the system calculates and displays detailed feature amount distributions, then the measurement precision improves, but the information processing complexity increases
Solution Approach 1:
The image display control unit extracts and highlights only the critical distribution information corresponding to different non-healthy site types from the complete feature amount data. By taking out and displaying only the essential distribution patterns rather than all raw data, the system maintains high measurement precision for identifying non-healthy sites while reducing processing complexity through selective information presentation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the identification of multiple types of non-healthy sites with different feature ranges in a single observation, reducing procedure time and patient burden by providing a clear display of feature amount distributions.
Implementation Method 1
an imaging unit including an imaging element configured to generate color image data corresponding to each light by imaging a living tissue illuminated with the at least two lights
Implementation Method 2
a processor including a feature amount obtaining unit configured to calculate a living substance feature amount in the living tissue by using a component of the color image data
Data Source
AI summary
An endoscope system includes a processor and displays a distribution image of living substance feature amounts obtained from an imaged image of a living tissue. The processor calculates the living substance feature amount in the living tissue, for example, an amount of hemoglobin and oxygen saturation of the hemoglobin using components of color image data of the living tissue illuminated with at least two lights, generates the feature amount distribution image illustrating a distribution of the living substance feature amounts, and controls display of the feature amount distribution image in order to display the generated feature amount distribution image so as to be superimposed on the image of the living tissue.