Dynamic Image Analysis Selection Using Image-Associated Information
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Solution Overview
Problem
Existing dynamic image analysis systems require significant time and manual effort to specify the type of analysis, leading to increased diagnosis time and potential errors due to varying analysis requirements across different departments or phases of examination/treatment.
Innovation Solution
A dynamic analysis device and storage medium that automatically specify the type of analysis based on image-associated information and setting information, linking multiple dynamic analyses to generate analysis results without manual user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple types of analysis results are generated from one dynamic image, then more diagnostic information is provided to technicians and clinicians, but the time required for diagnosis of one patient increases problematically
Solution Approach 1:
The system performs preliminary action by automatically determining which analysis types are necessary before executing the analysis. The determination unit identifies required analysis types based on image associated information (such as examination type, body part, or clinical indication) before the analysis unit processes the dynamic image, ensuring that only necessary analyses are performed to avoid unnecessary time consumption while maintaining comprehensive diagnostic information coverage
2Reliability
If the process of checking the required types of analyses and manually specifying the types of imaging in the imaging order information is performed, then analysis results can be provided to display devices, but the process is troublesome and may lead to errors
Solution Approach 1:
The system implements self-service by automatically determining the necessary analysis types without requiring manual user input. The determination unit autonomously identifies which analyses are needed based on image associated information, eliminating the troublesome manual specification process and reducing human error while maintaining or improving the accuracy of analysis result selection
Solution Approach 2:
The system uses feedback mechanisms by utilizing image associated information (such as examination orders, patient history, or clinical indications) to automatically determine appropriate analysis types. This feedback loop ensures that the analysis selection is clinically appropriate and accurate without requiring manual intervention, thereby improving reliability while simplifying operation
Data Source
AI summary
Provided is a dynamic analysis device that includes a hardware processor and a storage that stores setting information on image associated information and a dynamic analysis including dynamic analyses. The image associated information is linked to the dynamic analysis among predetermined dynamic analyses of multiple types. The hardware processor acquires a dynamic image to be subject to the dynamic analysis and the image associated information of the dynamic image, specifies a type of the dynamic analysis that is applied to the dynamic image based on the acquired image associated information and the setting information stored in the storage, executes the dynamic analysis of the specified type to generate an analysis result, and outputs the generated analysis result.