Medical Image Processing Automation for Fused Diagnostics
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Solution Overview
Problem
The existing medical information processing systems face inefficiencies in creating fused images from original images collected by multiple image generating apparatuses, requiring significant time and effort for data transfer, selection, and fusion processes, especially when dealing with large datasets or complex imaging procedures like 3D fused images from CT and MR images.
Innovation Solution
A medical information processing apparatus that receives exam reservation and execution information, determines the required image processing types, and automatically applies these processes to generate processing result images, reducing the need for manual intervention and minimizing waiting time by actively managing the transfer and processing of original images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If original images are transferred from multiple image generating apparatuses to an image processing apparatus for creating fused images, then the fused image can be generated, but significant time and effort is required for data transfer, selection, and fusion processes
Solution Approach 1:
The system performs preliminary actions by automatically transferring original images from multiple image generating apparatuses to the image processing apparatus before the fusion process is needed. The image processing apparatus proactively receives and stores images based on exam information, so that when fusion is required, the images are already available, eliminating manual transfer time and reducing waiting time for image processing.
2Ease of operation
If manual selection and transfer of original images is performed, then images can be processed, but the process requires significant operator time and effort
Solution Approach 1:
The system implements self-service by enabling the image processing apparatus to automatically receive, identify, and process original images from multiple image generating apparatuses without operator intervention. The apparatus autonomously manages the image collection and processing workflow based on exam information, eliminating manual selection and transfer operations, thereby reducing both operator time and effort while maintaining ease of operation.
Data Source
AI summary
A medical information processing apparatus includes an exam reservation information receiver and an image processor. The exam reservation information receiver receives exam reservation information for multiple image generating apparatuses, from an exam reservation apparatus. The image processor determines a type of image processing based on the received exam reservation information, and applies the determined type of image processing to original images as medical images generated by the multiple image generating apparatuses to generate a processing result image as the medical image.