Medical Image Processor Automates Diagnosis Support Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Operators face a burden in selecting the appropriate diagnosis support process for medical images, as different types of medical images require distinct processes, leading to increased operational complexity.
Innovation Solution
An image processing device equipped with a processor that acquires and analyzes medical images to select the most appropriate diagnosis or imaging support process based on the specific part of the subject within the image, thereby automating the process and reducing operator burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple types of diagnosis support processes are provided for different medical image types, then diagnostic accuracy is improved, but operator burden increases due to the need to select the appropriate process
Solution Approach 1:
The image processing device automatically identifies the medical image type and selects the appropriate diagnosis support process without requiring operator intervention. The system performs self-service by autonomously determining which diagnostic algorithm to apply based on the input image characteristics, thereby eliminating the selection burden while maintaining multiple specialized processes for different image types
Solution Approach 2:
The system changes the parameter of process selection based on the detected medical image type. By automatically adjusting which diagnosis support process is activated according to the image characteristics, the system maintains high diagnostic accuracy for different image types while removing the manual selection step that burdens the operator
2Reliability
If multiple diagnosis support processes are applied to comprehensive image analysis, then diagnostic completeness is improved, but processing time increases
Solution Approach 1:
The diagnosis support system is segmented into multiple specialized processes, each optimized for specific medical image types. The system divides the overall diagnostic task into separate specialized algorithms that can be selectively applied, ensuring comprehensive analysis when needed while allowing faster processing when fewer processes are required
Solution Approach 2:
The system performs preliminary identification of the medical image type before applying diagnosis support processes. This preliminary action allows the system to pre-determine which processes are necessary, avoiding unnecessary processing steps and reducing overall processing time while maintaining diagnostic completeness
Data Source
AI summary
A console includes a CPU that acquires an image to be processed which is an object to be subjected to a support process that is a diagnosis support process or an imaging support process and selects a support process to be applied to the image to be processed from a plurality of processes of the support process on the basis of a part of a subject which is included in the image to be processed.