Endoscope LED Light Amount Adjustment for Lesion Detection
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Solution Overview
Problem
Conventional endoscope devices cannot improve determination accuracy by adjusting the light amount for regions of interest suspected to be lesions, as identified by learning models.
Innovation Solution
A computer program that acquires images from an endoscope, inputs them into a learning model to recognize regions of interest, and adjusts the light emitted by LEDs at the endoscope's distal tip based on the recognition results, including adjusting the light amount and displaying the region of interest separately when the likelihood of a lesion is low or high.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the light amount for a region of interest is adjusted based on learning model recognition, then the determination accuracy of lesions is improved, but the device complexity increases
Solution Approach 1:
The system uses the learning model to automatically identify regions of interest and determine appropriate light amounts without manual intervention. The control unit autonomously processes images, recognizes lesions, and adjusts illumination based on pre-established criteria, enabling the system to serve itself in the diagnostic process.
Solution Approach 2:
The system dynamically changes the light amount parameter based on the recognition results from the learning model. When a region of interest is identified, the control unit adjusts the light amount to a predetermined value, transforming the static illumination system into a dynamic one that adapts to detected conditions.
2Adaptability or versatility
If multiple LEDs are used to irradiate different regions, then the adaptability of illumination adjustment is improved, but the device complexity increases
Solution Approach 1:
The illumination system is divided into multiple independent LEDs, each capable of emitting light to specific regions. This segmentation allows independent control of light amount for different areas, enabling precise and adaptable illumination adjustment based on the location and characteristics of detected regions of interest.
Solution Approach 2:
Different LEDs are assigned to irradiate different regions with specific light amounts based on local requirements. The control unit determines which LED(s) to activate and at what intensity, providing localized illumination quality tailored to the specific needs of each region of interest rather than uniform illumination throughout.
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
This solution allows for automatic adjustment of light amounts to improve the accuracy of lesion detection by optimizing illumination for regions of interest, enhancing the determination of lesions.
Implementation Method 1
adjusting a light amount with which an LED provided at a distal tip of the endoscope irradiates the region of interest
Data Source
AI summary
A computer program causes a computer to execute processing including: acquiring an image captured by an endoscope; inputting, when the image captured by the endoscope is input, the image to a learning model learned to output a recognition result of a region of interest included in the image, and outputting a recognition result; and adjusting a light amount with which an LED provided at a distal tip of the endoscope irradiates the region of interest, on the basis of the recognition result.