Fundus Image Processing for Choroid Artery Extraction
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Solution Overview
Problem
Existing technologies struggle to effectively visualize and quantify choroid arteries in fundus images, particularly in ultra-wide field images, limiting diagnostic accuracy in ophthalmic examinations.
Innovation Solution
An image processing method and device that acquires fundus images, extracts choroid arteries using image processing, and generates images with highlighted choroid arteries, employing ultra-wide field scanning laser ophthalmoscopy and optical coherence tomography to enhance visualization and quantification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing is used on fundus images, then general blood vessels are visualized, but choroid arteries cannot be effectively extracted and highlighted
Solution Approach 1:
The patent applies segmentation by dividing the fundus image into different vascular layers. The image processing unit separates choroid arteries from other blood vessels by analyzing specific depth ranges in the fundus image, isolating the choroid artery layer for targeted extraction and highlighting.
Solution Approach 2:
The patent extracts choroid arteries by isolating them from the complete fundus image. The image processing unit identifies and extracts blood vessel images within specific depth ranges corresponding to choroid arteries, separating them from other vascular structures for independent analysis and visualization.
2Area of stationary object
If ultra-wide field scanning is used to capture more choroid arteries, then the field of view increases, but image processing complexity increases
Solution Approach 1:
The patent implements multi-functionality by integrating multiple capabilities into a single image processing system. The image processing unit simultaneously performs depth-range analysis, choroid artery extraction, and highlighted image generation, enabling comprehensive choroid artery visualization across ultra-wide field images through one unified device.
Data Source
AI summary
An image processing method performed by a processor includes: a step of acquiring a fundus image in which choroid blood vessels are visualized; a step of extracting choroid arteries in the fundus image acquired in the acquiring step by performing image processing on the fundus image; and a step of generating a fundus image in which the choroid arteries extracted in the extracting step are highlighted.


