Choroidal Vessel Size Analysis via Vortex Vein Detection
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Solution Overview
Problem
Current methods for quantifying choroidal blood vessels from fundus images, particularly in visualizing and analyzing the size and distribution of choroidal blood vessels around vortex veins, are limited in accuracy and diagnostic support for ophthalmological assessments.
Innovation Solution
An image processing method that detects the position of vortex veins in fundus images, analyzes the size of choroidal blood vessels, and generates display screens to visualize the relationship between vortex vein positions and blood vessel sizes, using techniques such as binary image processing, size analysis, and histogram creation to provide detailed choroidal vascular analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods for quantifying choroidal blood vessels are used, then the process is simple, but the accuracy and diagnostic support are limited
Solution Approach 1:
The patent segments choroidal blood vessels into different size categories (first size and second size vessels) and processes them separately through distinct image processing pipelines. This segmentation enables precise measurement of each vessel category while maintaining an organized, manageable processing framework that doesn't overwhelm system complexity
Solution Approach 2:
The patent performs preliminary actions by first detecting vortex vein positions and then using these positions to guide subsequent blood vessel extraction and size analysis. By pre-identifying key anatomical landmarks, the system establishes a structured approach that improves measurement accuracy while keeping the overall process systematic and controllable
2Loss of information
If detailed size analysis of choroidal blood vessels is performed, then diagnostic support is enhanced, but processing time and computational load increase
Solution Approach 1:
The patent divides blood vessel analysis into size-based segments (first size and second size categories), allowing parallel processing of different vessel types. This segmentation preserves comprehensive size distribution information while enabling efficient, distributed computation that reduces overall processing time
Solution Approach 2:
The patent uses color-coded display methods to represent different blood vessel sizes (first size vessels displayed with first color, second size vessels with second color). This visual encoding preserves detailed size distribution information in an intuitive format that can be processed and displayed efficiently without requiring complex numerical computations for every visualization task
Data Source
AI summary
A visualization of choroidal blood vessel size is created.A vortex vein position is detected from a choroidal vascular image in which choroidal blood vessels have been visualized. Image processing is employed on the choroidal vascular image to extract first size choroidal blood vessels of a first size and to extract second size choroidal blood vessels of a second size different to the first size from the choroidal vascular image. A size analysis fundus image is generated in which a rectangular frame indicating the vortex vein position is displayed superimposed on the choroidal vascular image, and in which the first size choroidal blood vessels are displayed in red and the second size choroidal blood vessels are displayed in blue.