Medical Image Analysis Support Apparatus for Operator-Selected Application
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Solution Overview
Problem
Conventional medical image analysis systems automatically select additional analysis applications based on scan information, which may not match the operator's preference, leading to mismatched analysis applications for tasks like brain tumors or aneurysms.
Innovation Solution
An image analysis support apparatus that acquires initial analysis results from medical image data, determines candidate additional analysis applications based on these results, and allows operators to select the preferred application, ensuring compatibility and reducing re-analysis time by converting data formats for seamless integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If analysis applications are automatically selected based on scan information, then the selection process is simplified and automated, but the selected application may not match the operator's preference or actual analysis needs
Solution Approach 1:
The system performs preliminary analysis using the first analysis application to generate initial analysis results before the operator makes a selection. This preliminary action provides the operator with concrete analysis data to base their selection on, rather than forcing a choice based solely on scan information.
Solution Approach 2:
The system uses the initial analysis results as feedback to inform the operator's selection of the second analysis application. The analysis results provide meaningful feedback about the medical image data characteristics, enabling the operator to make an informed choice that matches both system capabilities and operator preference.
2Reliability
If multiple analysis applications are used to analyze medical image data, then analysis comprehensiveness is improved, but analysis time increases
Solution Approach 1:
The first analysis application performs preliminary analysis to extract essential features and generate initial results before the second analysis application is applied. This preliminary action reduces the complexity of the subsequent analysis and avoids redundant processing.
Solution Approach 2:
The system discards redundant or duplicate analysis operations by using the initial analysis results to inform the second analysis. Rather than running multiple independent analyses, the system recovers and builds upon the results from the first analysis, eliminating wasted computational effort.
3Reliability
If data format conversion is performed between analysis applications, then compatibility and consistency are improved, but processing complexity increases
Solution Approach 1:
The system introduces a data format conversion intermediary that standardizes data exchange between the first and second analysis applications. This intermediary layer handles format compatibility issues centrally, allowing individual applications to maintain their own data formats while ensuring consistent interoperability through the mediation of the conversion process.
Data Source
AI summary
According to one embodiment, an image analysis support apparatus includes processing circuitry. The processing circuitry acquires a first analysis result obtained through analysis of medical image data performed by a first analysis application. Based on the acquired first analysis result, the processing circuitry determines at least one candidate relating to a second analysis application that further analyzes the medical image data.