Medical Image Search Terminal Dynamic View Selection
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Solution Overview
Problem
Current medical imaging technologies lack an efficient method to dynamically adjust the display of similar medical images based on the number and location of regions of interest, affecting the accuracy of disease diagnosis by not providing the most relevant image type (axial or coronal) for diffuse or localized lesions.
Innovation Solution
A control method for an information terminal that detects the number of regions of interest in a target medical image and adjusts the display of similar images, showing axial images for localized lesions and coronal images for diffuse lesions, ensuring the most informative image type is presented to the doctor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If similar medical images are displayed without distinguishing between axial and coronal views, then the system is simple to operate, but the diagnostic accuracy decreases because the most relevant image type is not provided
Solution Approach 1:
The system dynamically adjusts the display of similar medical images based on the number of regions of interest detected in the target image. When one region of interest is detected, axial images are displayed; when two or more regions are detected, coronal images are displayed. This dynamic adaptation resolves the contradiction by automatically selecting the most appropriate view type based on lesion characteristics, thereby improving diagnostic accuracy without requiring complex manual intervention from the operator.
Solution Approach 2:
The system changes the display parameter (image view type: axial or coronal) based on the detected number of regions of interest. This parameter change approach allows the system to provide diagnostically relevant images by switching between different display modes according to the specific case, resolving the contradiction between simplicity and diagnostic accuracy through automated parameter adjustment.
2Measurement precision
If the system automatically selects and displays specific image types based on region of interest analysis, then diagnostic precision is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary analysis by detecting the number of regions of interest in the target medical image before displaying similar images. This preliminary action enables the system to pre-determine the appropriate image view type (axial or coronal) to be displayed, thereby improving lesion identification precision without requiring time-consuming manual analysis or repeated processing during the diagnostic workflow.
3Loss of information
If the system provides detailed analysis of multiple regions of interest, then the completeness of diagnostic information is improved, but the ease of operation decreases
Solution Approach 1:
The system performs self-service by automatically detecting the number of regions of interest and autonomously selecting the appropriate image view type for display. This eliminates the need for operators to manually analyze and select image types, thereby maintaining complete diagnostic information while preserving ease of operation. The system serves itself by making intelligent decisions based on the detected regions of interest.
Data Source
AI summary
A control method for an information terminal including a computer, the control method including controlling the computer to 1) detect whether information indicating a region of interest in a target medical image to be interpreted is input, 2) receive a plurality of similar medical images similar to the target medical image from a case search system, the received similar medical images including an axial image and a coronal image, and 3) display the axial image or the coronal image on a display such that the axial image is displayed when the number of regions of interest indicated by the information input to indicate region of interests is one while the coronal image is displayed when the number of regions of interest indicated by the information input to indicate region of interests is two or more or in a case where the information indicating regions of interest is not input.