Fundus Image Choroid Abnormality Detection
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Solution Overview
Problem
Current image processing methods for fundus analysis lack efficiency in detecting abnormalities, particularly in choroid information, making it difficult to easily identify anomalies in fundus images.
Innovation Solution
An image processing method and device that acquire choroid information from fundus images and compare it against a normative database to determine abnormalities, utilizing techniques such as choroidal vascular image processing, feature amount extraction, and comparison with stored database values to assess normalcy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If choroid information is extracted and compared against a normative database, then abnormality detection accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent pre-processes fundus images to extract choroid information and creates a normative database of choroid patterns before actual diagnosis. This preliminary extraction and database creation allows rapid comparison during clinical use, reducing real-time processing requirements while maintaining high detection accuracy.
Solution Approach 2:
The patent creates simplified representations (copies) of choroid information by extracting key features and storing them in a normative database. These copied feature sets enable rapid comparison against new images without requiring full re-analysis of original complex images, thus reducing processing time while preserving diagnostic accuracy.
2Reliability
If choroid information extraction and database comparison is implemented, then diagnostic capability is improved, but device complexity increases
Solution Approach 1:
The patent divides the diagnostic system into separate functional modules: fundus image acquisition, choroid information extraction, normative database storage, and comparison analysis. This segmentation allows each component to be optimized independently and simplifies the overall system architecture, making the complex diagnostic capability more manageable and implementable.
Solution Approach 2:
The patent creates a normative database that can serve multiple diagnostic purposes and patient populations. The same database infrastructure supports various choroid-related diagnostic tasks, reducing the need for separate systems and minimizing overall device complexity while maintaining comprehensive diagnostic capability.
Data Source
AI summary
An image processing method, which is executed by a processor, comprises acquiring choroid information from an image of a fundus of an examined eye, and comparing the choroid information against a choroid normative database and determining whether or not there is an abnormality in the fundus.