Ophthalmologic Image Analysis Error Detection
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Solution Overview
Problem
Current ophthalmologic imaging technologies face inefficiencies in acquiring images suitable for analysis due to differences in judgment criteria for image quality and suitability for disease diagnosis, leading to unnecessary re-measurement and decreased medical checkup efficiency.
Innovation Solution
An ophthalmologic information processing apparatus and method that acquires images of the eye and determines whether they contain analysis error factors, allowing for immediate assessment of image suitability for analysis without relying on image quality, thereby reducing unnecessary re-imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image quality criteria are used to judge captured images, then images with good quality can be identified, but images suitable for analysis cannot be accurately determined leading to unnecessary re-measurement
Solution Approach 1:
The patent changes the assessment parameter from general image quality to specific analysis suitability. The determination unit evaluates whether captured images contain analysis error factors rather than relying on traditional quality metrics, thereby accurately identifying images suitable for analysis and reducing unnecessary re-measurement to improve medical checkup efficiency.
2Reliability
If re-measurement is performed to ensure analysis suitability, then analysis accuracy can be improved, but measurement time increases and efficiency decreases
Solution Approach 1:
The patent performs preliminary assessment of analysis suitability immediately after image capture using the determination unit. By evaluating whether analysis error factors are present before proceeding to analysis, the system identifies suitable images in advance, avoiding unnecessary re-measurement and reducing total measurement time while maintaining analysis accuracy.
3Ease of operation
If operator skill is relied upon to judge image suitability, then subjective assessment can be performed, but consistency and efficiency vary due to operator differences
Solution Approach 1:
The patent enables the system to self-assess image suitability for analysis through the determination unit, which automatically detects analysis error factors in captured images. This eliminates reliance on operator skill and judgment, providing consistent, objective evaluation that improves operating efficiency while maintaining ease of operation through automated decision-making.
Data Source
AI summary
An ophthalmologic information processing apparatus includes an acquisition unit and a determination unit. The acquisition unit is configured to acquire a captured image of a subject's eye. The determination unit is configured to determine whether or not the captured image acquired by the acquisition unit is an analysis error image including a predetermined analysis error factor.