Fundus Image Choroidal Vessel Analysis for Vortex Vein Detection
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Solution Overview
Problem
Existing technologies struggle to accurately analyze and visualize the positions of vortex veins in choroidal blood vessels from fundus images, which are crucial for ophthalmic diagnostics.
Innovation Solution
An image processing method and device that analyze choroidal blood vessel structures from fundus images, detect vortex vein positions, and superimpose marks on the images to enhance visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vortex vein positions are detected from fundus images using existing technologies, then basic visualization is achieved, but detection precision and visualization accuracy are insufficient
Solution Approach 1:
The patent segments the complex fundus image into distinct components: choroidal blood vessel structures are extracted and separated from other image elements. This segmentation allows for focused analysis of vortex vein positions without interference from other structures, thereby improving detection precision while preserving critical vascular information.
Solution Approach 2:
The patent enhances visualization by adding dimensional information - superimposing detected vortex vein positions as markers on the original fundus image. This creates a multi-layered representation that combines structural information with positional data, preventing information loss while improving diagnostic accuracy.
2Measurement precision
If complex image processing is performed to improve vortex vein detection, then detection accuracy improves, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary extraction and analysis of choroidal blood vessel structures before final vortex vein detection. By pre-processing the image to isolate vascular structures and identify key features, the system reduces the computational burden of subsequent vortex vein position detection, thereby improving accuracy without excessive time cost.
Solution Approach 2:
The image processing system uses the inherent structural characteristics of choroidal blood vessels themselves to guide the detection process. The natural patterns and configurations of the vessels provide self-cueing information that simplifies the detection algorithm, reducing computational complexity while maintaining high detection accuracy.
Data Source
AI summary
In the present invention, vortex vein positions are detected from a fundus image. The image processing method comprising: a step in which a choroidal blood vessel structure is analyzed from a fundus image; and a step in which vortex vein positions are detected based on the choroidal blood vessel structure.