Eye Image Processing System for Device-Specific Diagnosis
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Solution Overview
Problem
Existing ophthalmological information processing systems fail to consider selecting an appropriate server for image analysis based on the device that captures the image or the entity requesting the analysis.
Innovation Solution
An information processing system that includes an image acquisition device and a first information processing device, which identifies and transmits eye image data to an appropriate image diagnosis device or artificial intelligence based on additional information, such as device specifications and patient information, for enhanced image diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single ophthalmological information processing server is used for all image analysis, then the system structure is simple, but the image diagnosis precision is insufficient because the server cannot be optimized for specific device characteristics or patient needs
Solution Approach 1:
The patent divides the monolithic information processing server into multiple specialized servers, each optimized for specific imaging devices or diagnostic tasks. The segmentation server separates different processing functions (e.g., retinal imaging processing, corneal imaging processing) into distinct server instances that can be independently configured and optimized for their specific purposes.
Solution Approach 2:
The patent implements dynamic server selection where the information processing server is chosen based on real-time characteristics of the input image and device. The system dynamically determines which server should process a given image based on device type, image characteristics, and diagnostic requirements, allowing the system to adapt its configuration rather than being static.
2Adaptability or versatility
If the information processing server is selected without considering device characteristics, then the system operation is simple, but the adaptability to different imaging devices and diagnostic needs is reduced
Solution Approach 1:
The patent implements self-service through automatic device recognition and server selection. The system automatically identifies the imaging device type from metadata or image characteristics and autonomously selects the appropriate processing server without requiring manual intervention. This eliminates the need for operators to manually configure server selections while maintaining high adaptability.
Solution Approach 2:
The system incorporates feedback mechanisms where image characteristics and device information are used to determine the optimal server selection. The feedback loop continuously monitors image properties and adjusts server assignment accordingly, ensuring that the most suitable processing resources are allocated based on actual input characteristics.
3Measurement precision
If all image data is processed using the same processing parameters, then the processing workflow is simple, but the diagnosis accuracy for different eye conditions and imaging modalities is compromised
Solution Approach 1:
The patent applies local quality by tailoring processing parameters to specific local requirements. Each imaging modality (retinal, corneal, optic nerve) receives customized processing parameters optimized for its specific characteristics. The system adjusts parameters such as contrast enhancement, noise filtering, and feature detection thresholds according to the specific imaging modality and diagnostic objective.
Solution Approach 2:
The system dynamically changes processing parameters based on input characteristics. When different imaging modalities or patient conditions are detected, the system automatically adjusts parameters such as resolution thresholds, contrast sensitivity, and feature detection algorithms to optimize diagnosis accuracy for each specific scenario.
Data Source
AI summary
An information processing system comprises: an image acquisition device acquiring subject eye image data of a patient; and a first information processing device communicating with the image acquisition device and storing the image data, the image acquisition device transmits, to the first information processing device, the image data and first transmission data including additional information used to identify an image diagnosis device performing image diagnosis on the image data, the first information processing device: stores the image data when receiving the first transmission data from the image acquisition device; identifies, based on the additional information, a first image diagnosis device performing a first image diagnosis on the image data and/or a second image diagnosis device performing a second image diagnosis differing from the first image diagnosis on the image data; and transmits second transmission data including the image data to the identified image diagnosis device.