Fluorescence Luminance Control in Endoscopic Imaging Systems
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Solution Overview
Problem
Current endoscopic imaging systems struggle to effectively control the luminance of fluorescent images obtained under excitation light, particularly in infrared light observation modes, leading to inadequate visibility of lesions and deep tissue structures.
Innovation Solution
A control device and method for an imaging system that includes a video signal acquisition unit, a photometric unit to measure fluorescence brightness, and a luminance control unit to adjust the luminance of fluorescent images based on acquired brightness, using a light source to emit excitation light and an imaging device to capture fluorescence images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If excitation light is emitted to obtain fluorescence images, then diagnostic information from deep tissue structures is improved, but luminance control becomes difficult leading to inadequate visibility
Solution Approach 1:
The control device measures the actual luminance of the fluorescent image and uses this feedback to automatically adjust the excitation light output, achieving stable luminance control despite variations in tissue properties or imaging conditions
Solution Approach 2:
The system dynamically changes the excitation light intensity parameter based on measured luminance levels, allowing optimization of image quality while preventing over-excitation or insufficient illumination
2Illumination intensity
If excitation light intensity is increased to improve visibility, then deep tissue structure observation is enhanced, but image quality deteriorates due to inadequate luminance control
Solution Approach 1:
Real-time luminance measurement feeds back to the control device, which adjusts excitation light intensity to maintain optimal visibility without exceeding thresholds that would degrade image quality
Solution Approach 2:
The system transitions from static excitation light settings to dynamic adjustment based on real-time luminance conditions, allowing optimization for each specific imaging scenario
3Device complexity
If manual luminance adjustment is used, then device complexity is reduced, but diagnostic accuracy decreases due to inadequate luminance control
Solution Approach 1:
The system performs self-adjustment of luminance through automatic measurement and control, eliminating the need for complex manual intervention while maintaining high diagnostic accuracy through precise luminance management
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
The solution enables the acquisition of fluorescent images with suitable luminance, improving the visibility of lesions and deep tissue structures by adjusting the light source output and image processing parameters, enhancing diagnostic accuracy in endoscopic procedures.
Implementation Method 1
fluorescence radiated from a subject under excitation by an excitation light that is emitted onto the subject
Implementation Method 2
an imaging device configured to take an image of the fluorescence
Data Source
AI summary
A control device for an imaging system includes a video signal acquisition unit, a photometric unit, and a luminance control unit. The video signal acquisition unit is configured to acquire a video signal obtained by taking an image of fluorescence radiated from a subject under excitation by an excitation light that is emitted onto the subject. The photometric unit is configured to acquire brightness of the fluorescence based only on a color-specific video signal of one color corresponding to the fluorescence, the color-specific video signal being included in the video signal. The luminance control unit is configured to adjust luminance of a fluorescent image formed from the video signal, based on the brightness of the fluorescence acquired by the photometric unit.