Server-Based Fundus Image Processing for Cost-Efficient Quality
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Solution Overview
Problem
Medical institutions face high costs and inefficiencies in updating hardware or software to improve the image quality of fundus images, as they need to individually perform image processing and update processing algorithms, which is computationally intensive and costly.
Innovation Solution
A server device and terminal system that processes moving image data into high-quality still images, allowing automatic updates of processing programs and caching of generated images, enabling efficient transmission and retrieval of high-quality still images over a network without local intensive computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If medical institutions individually perform image processing to improve fundus image quality, then image quality is improved, but hardware and software update costs increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary between the fundus camera and terminal devices. The server performs centralized image processing of moving image data to generate high-quality still images, which are then distributed to terminal devices. This mediator approach allows medical institutions to access advanced image processing capabilities without each institution needing to individually maintain and update expensive local processing systems, thereby improving image quality while reducing update costs.
2Manufacturing precision
If medical institutions individually perform image processing, then image quality is improved, but the complexity of hardware and software updates increases
Solution Approach 1:
The patent merges the image processing function from distributed local systems into a centralized server. Multiple terminal devices can access the same processed images generated by the server, eliminating the need for each device to independently perform image processing. This consolidation reduces the overall system complexity and simplifies update procedures, as updates only need to be applied to the central server rather than numerous individual devices.
3Manufacturing precision
If individual medical institutions perform image processing, then high quality still images can be obtained, but the cost for hardware and software updates becomes high
Solution Approach 1:
The server generates high-quality still images by processing moving image data and stores these processed images. Terminal devices can then copy or access these pre-processed images without needing to perform their own intensive image processing. This copying approach allows multiple institutions to obtain high-quality images without each incurring the full cost of maintaining independent processing systems, significantly reducing overall update costs while maintaining image quality.
Data Source
AI summary
In some embodiments, methods and apparatus are provided for transmitting, via at least one network, a request to another apparatus for still image data generated from moving image data, the request comprising at least one criterion, and receiving still image data generated from moving image data matching the at least one criterion in the request. In further embodiments, methods and apparatus are provided for receiving the request via at least one network, using the at least one criterion in the request to obtain still image data generated from moving image data, and responding to the request by transmitting the obtained still image data.