Endoscopic Image Processing With Adaptive Light And Magnification
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Solution Overview
Problem
Existing endoscopic systems struggle to set an observation environment that highly correlates with pathological examinations, as features relevant to disease diagnosis may not appear in medical images due to variations in illumination light or magnification.
Innovation Solution
The system employs adjustable illumination with different light sources (violet, blue, green, and red LEDs) and adjustable magnification to create observation environments that enhance features relevant to pathological examinations, including color difference expansion and disease-related processing modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the observation environment (illumination light or magnification) is changed to make a feature highly correlating with pathological examination appear in the medical image, then the reliability of disease state determination is improved, but the device complexity increases due to multiple illumination sources and adjustable magnification systems
Solution Approach 1:
The system dynamically switches between different observation environments (normal light, special light, magnification levels) based on the diagnostic needs. The light source device can change illumination wavelengths, and the endoscope can adjust magnification ratios, allowing the system to adapt to different disease states and pathological features without requiring multiple fixed systems.
Solution Approach 2:
The endoscope system is designed to perform multiple functions: it can operate in normal light mode for general observation, switch to special light mode for enhanced vascular visualization, and adjust magnification ratios for different levels of detail. This multi-functionality allows a single device to replace what would otherwise require multiple specialized instruments.
2Measurement precision
If multiple illumination lights and magnification adjustments are provided to enhance disease-related features, then the measurement precision of disease features is improved, but the ease of operation deteriorates due to the need to manually adjust multiple parameters
Solution Approach 1:
The system incorporates automatic switching based on feedback from image analysis. The processor device analyzes the captured images and automatically determines when to switch between normal light and special light modes, or when to adjust magnification ratios, reducing the need for manual operator intervention while maintaining diagnostic accuracy.
Solution Approach 2:
The system performs self-adjustment of observation parameters. The processor device automatically selects appropriate illumination modes and magnification levels based on the detected features in the medical image, allowing the system to optimize its own operation without requiring the operator to manually adjust multiple parameters.
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 approach allows for accurate determination of disease stages and remission by enhancing features in medical images, enabling reliable disease state processing.
Implementation Method 1
a light source device 14 that emits illumination light; the light source device 14 includes a violet light emitting diode 20a, a blue light emitting diode 20b, a green light emitting diode 20c, and a red light emitting diode 20d
Data Source
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AI summary
There are provided an image processing device, an endoscope system, and a method of operating image processing that can set an observation environment in which a feature highly correlating with a pathological examination is found in a medical image. A switching determination index value (red feature quantity), which is used to determine whether or not to switch a first observation environment to a second observation environment in which an object to be observed is enlarged at a second magnification ratio higher than a first magnification ratio is calculated on the basis of a first medical image that is obtained in the first observation environment in which the object to be observed is enlarged at the first magnification ratio. Whether or not to switch the first observation environment to the second observation environment is determined on the basis of the switching determination index value. The first observation environment is switched to the second observation environment by a specific operation in a case where it is determined that switching to the second observation environment is to be performed.