Spectral Image Signal Creation Using Matrix Computation
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Solution Overview
Problem
Existing biological observation apparatuses face challenges in creating accurate spectral image signals, particularly when observing tissues with different spectral reflection characteristics, such as esophagus and gastric mucosa, leading to inaccuracies and difficulties in displaying suitable color tones for diagnostic information like hemoglobin content.
Innovation Solution
A biological observation apparatus that processes color image signals to create spectral image signals using narrowband image processing, allowing for adjustable display colors and improved operability, including a matrix computing section to enhance signal accuracy and a display color converting section for customizable color output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If electrical arithmetic processing by matrix computation is used to create spectral image signals from color image signals, then the spectral image signal can be created without using an optical narrow bandpass filter, but the accuracy of the created spectral image signal deteriorates due to differences in spectral reflection characteristics of different biological tissues
Solution Approach 1:
The system performs preliminary measurement of spectral reflection characteristics for multiple types of biological tissue (esophagus mucosa, gastric mucosa, large intestinal mucosa) and stores this data in advance. When creating spectral image signals, the system selects and applies the appropriate pre-measured characteristics corresponding to the observed tissue type, thereby improving accuracy without requiring complex real-time adjustments.
Solution Approach 2:
The system changes the parameters of the matrix computation by selecting different matrix computation characteristic values that correspond to different biological tissue types. This allows the same electrical arithmetic processing framework to adapt to various tissues (esophagus, gastric, large intestinal mucosa) by adjusting the computational parameters rather than requiring different hardware configurations.
2Device complexity
If a fixed matrix computation characteristic value is used for creating spectral image signals, then the processing is simplified, but the ability to accommodate different biological tissue types with different spectral reflection characteristics is reduced
Solution Approach 1:
The system achieves multi-functionality by incorporating multiple matrix computation characteristic values within a single processing framework. The same electrical arithmetic processing unit can handle different biological tissue types (esophagus, gastric, large intestinal mucosa) by selecting from multiple pre-stored characteristic values, making the system universal across different observation scenarios without requiring separate processing systems for each tissue type.
Solution Approach 2:
The system introduces dynamics by making the matrix computation characteristic value selectable and changeable based on the observed tissue type. Rather than being fixed, the characteristic value can be dynamically adjusted by the observer according to the specific biological tissue being examined, allowing the system to adapt to different conditions while maintaining the same hardware configuration.
3Productivity
If spectral image signals are created without considering tissue-specific spectral reflection characteristics, then the processing speed is maintained, but the diagnostic accuracy for different tissue types deteriorates
Solution Approach 1:
The system performs the time-consuming task of measuring and analyzing spectral reflection characteristics in advance, storing the results as pre-determined matrix computation characteristic values. During actual spectral image signal creation, the system simply selects from these pre-computed values, maintaining fast processing speed while ensuring diagnostic accuracy through the use of tissue-specific characteristics.
Data Source
AI summary
A biological observation apparatus comprises a color image signal creating section that performs signal processing on either a first image pickup signal for which a subject to be examined illuminated by white illumination light is picked up by a color filter having a transmitting characteristic of a plurality of broadband wavelengths or a second image pickup signal for which a subject to be examined is picked up under illumination of frame sequential illumination lights which cover a visible range, and creates a color image signal. The biological observation apparatus comprises a spectral image signal creating section that creates a spectral image signal corresponding to a narrowband image signal through signal processing on a color image signal based on the first or second image pickup signal. The biological observation apparatus comprises one of a characteristic changing/setting section for a display color converting section that performs conversion of display colors when causing the spectral image signal to be displayed or the like, an interface section for performing an instruction operation for switching and/or confirming information including an image to be displayed, or the like.