Fundus Image Processing With Symmetric Blood Vessel Analysis
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Solution Overview
Problem
Existing technologies face challenges in accurately analyzing fundus images to measure blood vessel diameters and assess asymmetry in blood vessel running directions, which is crucial for ophthalmic diagnostics.
Innovation Solution
An image processing method that sets analysis points symmetrically on a fundus image to analyze blood vessel running directions and symmetry, using a computer program to execute these methods, and an ophthalmic system that includes an image processing device to generate and analyze choroidal vascular images, enhancing the accuracy of blood vessel diameter measurement and asymmetry assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image processing methods are used to measure blood vessel diameters, then the measurement can be performed, but the accuracy is insufficient for reliable ophthalmic diagnostics
Solution Approach 1:
The fundus image is divided into multiple analysis regions with multiple analysis points in each region. Blood vessel running directions are measured at each analysis point, and symmetry is evaluated by comparing corresponding points across symmetric regions. This segmentation approach allows for more comprehensive and accurate assessment of blood vessel characteristics, improving both measurement precision and diagnostic reliability.
Solution Approach 2:
The patent introduces a symmetry analysis dimension by comparing blood vessel running directions at symmetric analysis points across the fundus image. This adds a new analytical dimension beyond simple diameter measurement, enabling detection of asymmetric changes that indicate pathological conditions, thereby improving diagnostic reliability.
2Reliability
If symmetry analysis of blood vessel running directions is performed, then diagnostic insights are improved, but the complexity of image processing increases
Solution Approach 1:
The fundus image is segmented into multiple analysis regions with multiple analysis points. By organizing the analysis in a structured segmented manner, the complexity is managed through systematic processing of discrete regions rather than analyzing the entire image at once, while still achieving comprehensive symmetry assessment.
Solution Approach 2:
The patent evaluates symmetry by analyzing changes in blood vessel running direction parameters at symmetric analysis points. By focusing on parameter changes (angular deviations) rather than complex pixel-by-pixel comparison, the method achieves reliable asymmetry detection with manageable processing complexity.
Data Source
AI summary
An image processing method is provided. The image processing method includes: setting a first analysis point and a second analysis point on a fundus image so as to be symmetrical about a reference line; finding a first blood vessel running direction at the first analysis point and finding a second blood vessel running direction at the second analysis point; and comparing the first blood vessel running direction against the second blood vessel running direction.