Endoscopic Spectrum Image Colorization for Bleeding Vessel Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current endoscopic procedures face challenges in effectively visualizing and identifying bleeding vessels in the upper gastrointestinal tract, particularly in monochromatic fields, which can lead to difficulties in diagnosing and treating active bleeds and reducing re-bleeding events.
Innovation Solution
The method involves obtaining a spectrum image of the upper gastrointestinal area using an endoscopic device, applying filters to enhance the image at specific light wavelengths where the light absorption rates of oxygenated and deoxygenated hemoglobin differ, and employing contrast enhancement techniques such as Bayesian classifiers or histogram contrast algorithms to generate a final colorized image that clearly defines blood vessels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional endoscopic imaging is used, then the procedure is simple and quick, but the visibility of bleeding vessels is poor
Solution Approach 1:
The patent applies parameter changes by transforming the monochromatic endoscopic image into a colorized image through mathematical operations. Specifically, the system calculates a colorized image by combining the monochromatic image with reference images and applying contrast enhancement algorithms, thereby changing the visual parameters to improve vessel visibility without requiring multiple physical cameras.
Solution Approach 2:
The patent uses an intermediary approach by introducing a colorization algorithm as a mediator between the monochromatic image and the final visual output. The system processes the monochromatic image through intermediate steps including contrast enhancement and color mapping, allowing the human eye to perceive color information that was not originally captured, thus improving visibility while maintaining a single camera system.
2Measurement precision
If monochromatic imaging is used, then the device complexity is low, but the ability to detect bleeding vessels is insufficient
Solution Approach 1:
The patent replaces the mechanical approach of using multiple cameras or filters with a computational method. Instead of physically capturing multiple wavelength images or using complex optical systems, the invention substitutes a processor that applies contrast enhancement algorithms and colorization techniques to the monochromatic image, achieving improved detection precision through software rather than hardware complexity.
Solution Approach 2:
The system changes the parameter space by transforming the single-channel monochromatic image into a multi-channel colorized representation. Through contrast enhancement operations and color mapping algorithms, the system amplifies the visual differences between bleeding vessels and surrounding tissue, improving detection precision without adding physical imaging components.
3Illumination intensity
If contrast enhancement is applied to the entire image, then the overall visibility improves, but the processing time increases
Solution Approach 1:
The patent applies local quality by selectively applying contrast enhancement and colorization techniques only to specific regions of interest within the image. The system identifies areas with potential bleeding vessels and applies enhanced processing only to those regions, while maintaining faster processing for the entire image by using efficient algorithms that target only necessary areas, thus balancing visibility improvement with processing speed.
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 enhances the visibility of bleeding vessels, improving diagnosis and treatment efficacy by reducing re-bleeding risks and readmissions, and enabling the identification of non-bleeding visible vessels that may be prone to re-bleeding.
Implementation Method 1
A filter is applied to the spectrum image at a light wavelength at which a light absorption rate of oxygenated hemoglobin differs from a light absorption rate of deoxygenated hemoglobin
Data Source
AI summary
According to one aspect, a processor device in communication with an endoscopic device obtains a spectrum image of bleeding in an upper gastrointestinal (GI) area of a patient. A filter is applied to the spectrum image to generate a pre-enhanced image. The filter enhances the spectrum image at one or more light wavelengths in the light spectrum. The pre-enhanced image is analyzed to identify an area of interest that represents a portion of the upper Gl area with an active bleed. A contrast enhancement technique is applied to the area of interest in the pre-enhanced image to generate an enhanced contrast image. Spatial filters are applied to the enhanced contrast image to produce a final colorized image with defined blood vessels in the upper Gl area of the patient.