Choroidal Vessel 3D Imaging from OCT Volume Data
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Solution Overview
Problem
Current technologies lack an effective method to visualize and analyze blood vessels in the eye using optical coherence tomography (OCT) volume data, specifically for generating three-dimensional images of choroidal vessels.
Innovation Solution
An image processing method and device that acquires OCT volume data, extracts choroidal vessels, and generates a three-dimensional image of these vessels, utilizing a processor and image processing program to perform noise removal, blood vessel extraction, and binarization processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If OCT-angiography is used to visualize choroidal vessels, then blood vessel visualization is achieved, but computational complexity increases
Solution Approach 1:
The patent extracts only the necessary information for choroidal vessel visualization from the OCT volume data, rather than performing full OCT-angiography processing. By selectively extracting depth information and applying simplified extraction algorithms, the method achieves blood vessel visualization while avoiding the high computational complexity of conventional OCT-angiography techniques.
2Loss of information
If detailed choroidal vessel analysis is performed, then diagnostic information quality improves, but processing time increases
Solution Approach 1:
The patent performs preliminary binarization and depth information extraction from the OCT volume data before detailed vessel analysis. By pre-processing the data to identify and segment choroidal vessels in advance, the method reduces the computational burden of subsequent detailed analysis, thereby maintaining high diagnostic information quality while reducing overall processing time.
3Shape
If three-dimensional image generation is implemented, then spatial understanding of vessels improves, but data processing complexity increases
Solution Approach 1:
The patent transforms two-dimensional OCT cross-sectional data into three-dimensional choroidal vessel images by extracting depth information and applying volumetric rendering techniques. This dimensional transformation provides comprehensive spatial representation of the vessels while using efficient algorithms that avoid excessive processing complexity.
Data Source
AI summary
Generating a three-dimensional image of a vortex vein based on OCT volume data.An image processing method is performed by a processor and includes a step of acquiring OCT volume data including a choroid, and a step of extracting choroidal vessels based on the OCT volume data and generating a three-dimensional image of the choroidal vessels.