Medical Image Display Protocol Automation
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Solution Overview
Problem
Current medical image display systems burden radiologists and requesting physicians with extraneous workloads as they require manual setting of image observation modes and formats, which are not optimized for the specific needs of each user or disease type, leading to inefficiencies in image diagnosis workflows.
Innovation Solution
A medical image display apparatus and method that automatically determine display protocols based on anatomical structures and diseases mentioned in image observation reports, using stored protocols correlated with image processing and display conditions, allowing for optimized image display formats for radiologists and requesting physicians without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual setting of image observation modes and formats is required, then display formats can be customized for different users, but workload and time consumption increase significantly
Solution Approach 1:
The system automatically determines display protocols by itself without requiring manual intervention. It extracts anatomical structure and disease information from image observation reports, then autonomously selects and applies appropriate display protocols, making the system self-configuring and eliminating manual setup workload
Solution Approach 2:
Display protocols are pre-configured and stored in the system for various anatomical structures and diseases. When an image observation report is generated, the system retrieves and applies the corresponding pre-prepared display protocol, avoiding the need for real-time manual configuration
2Productivity
If generic display formats are used for all users, then setup time is reduced, but diagnostic efficiency and accuracy decrease due to lack of optimization for specific needs
Solution Approach 1:
The system applies different display protocols tailored to specific anatomical structures and diseases rather than using a uniform display format for all cases. Each anatomical region and disease type has its own optimized display parameters, ensuring local optimization for diagnostic needs
Solution Approach 2:
The system uses feedback from image observation reports (containing anatomical structure and disease information) to automatically determine which display protocol to apply. This closed-loop approach ensures the display format matches the diagnostic content without requiring complex manual configuration
3Adaptability or versatility
If multiple display protocols are stored and managed manually, then display optimization for different diseases is achieved, but system complexity and maintenance burden increase
Solution Approach 1:
The system uses a universal display protocol determination mechanism that handles multiple anatomical structures and diseases through a single automated process. The same system infrastructure manages all display protocols by extracting relevant information from image observation reports and selecting appropriate protocols, eliminating the need for separate manual management systems
Data Source
AI summary
A keyword extracting section extracts anatomical structures and/or information related to diseases from image observation reports regarding input image data. A display protocol determining section determines display protocols by selecting display protocols from among those stored in a display protocol table, based on the extracted anatomical structures and/or information related to diseases. Medical images for display are displayed based on the determined display protocols.