Medical Image Display Speed Control via Evaluation Values
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Solution Overview
Problem
Medical image processing systems face challenges in efficiently managing and displaying medical images from various imaging modalities, such as X-ray CT, MRI, and PET, particularly in prioritizing and navigating through images based on clinical relevance and image quality, leading to increased operator workload and diagnostic inefficiencies.
Innovation Solution
A medical image processing apparatus that calculates an evaluation value for each image based on various criteria, including imaging conditions, region of interest, and patient state, to control the forwarding and reversing speed of image display, thereby optimizing the display and storage of images to prioritize clinically important regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If medical images from multiple imaging modalities are managed and displayed, then diagnostic information is comprehensive, but operator workload increases and diagnostic efficiency decreases
Solution Approach 1:
The system segments medical images into different categories based on imaging modalities (CT, MRI, PET, etc.) and automatically prioritizes them using evaluation values. This segmentation allows the operator to focus on high-priority images while reducing the overwhelming complexity of managing all images uniformly.
Solution Approach 2:
The system performs self-service by automatically calculating evaluation values for each image based on imaging conditions, region of interest, and patient state. This automatic prioritization reduces the operator's manual workload in sorting and navigating through images from multiple modalities.
2Loss of information
If all medical images are displayed without prioritization, then complete image information is available, but operator workload increases
Solution Approach 1:
The system applies local quality by assigning different display priorities to different images based on their evaluation values. High-priority images are displayed more prominently or first, while lower-priority images are displayed subsequently. This maintains information completeness while making operation easier by automatically organizing images according to their clinical importance.
Solution Approach 2:
The system uses feedback mechanisms where evaluation values are calculated based on imaging conditions, region of interest, and patient state, then used to control the display order and priority of images. This feedback loop continuously optimizes the display based on the specific clinical context, reducing operator workload while maintaining information completeness.
3Ease of operation
If images are displayed at uniform speed, then navigation is simple, but clinically important regions may not be prioritized
Solution Approach 1:
The system implements dynamics by making the image display speed variable rather than uniform. The forwarding and reversing speeds are dynamically adjusted based on evaluation values, allowing faster navigation through high-priority images and slower navigation through lower-priority images. This maintains operational simplicity while achieving precise clinical prioritization.
Solution Approach 2:
The system changes the parameter of display speed based on evaluation values. By modifying the forwarding and reversing speed parameters according to image priority, the system achieves both simple navigation (through automated speed adjustment) and precise clinical prioritization (through evaluation-based speed variation).
Data Source
AI summary
A medical image processing apparatus according to present embodiments includes processing circuitry. The processing circuitry is configured to acquire medical images. The processing circuitry is configured to control the medical images based on an evaluation value corresponding to each of the medical images, thereby control a forwarding/reversing number or a forwarding/reversing speed of displayed images of the medical images for an operation amount.