Dynamic Imaging Quality Control Device for Automated Framerate and Sensitivity Analysis
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Solution Overview
Problem
Current quality control methods for dynamic imaging are inefficient and lack standardized processes, relying on manual techniques and individual skills, which can lead to misdiagnosis, increased radiation doses, and equipment overload, highlighting the need for automated and systematic quality control measures.
Innovation Solution
A dynamic imaging quality control device and method that utilize a hardware processor and non-transitory storage medium to present information on framerate, system sensitivity, and image region, enabling automated quality control through analysis and presentation of quality control data, including framerate, system sensitivity, and image region information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual quality control is performed by technicians, then quality control can be conducted, but efficiency is low and it depends on individual skills
Solution Approach 1:
The system performs self-diagnosis and quality control automatically without requiring technician intervention. The control device autonomously acquires imaging data, analyzes quality metrics including framerate and system sensitivity, and generates quality control information, eliminating dependence on individual technician skills while maintaining consistent quality standards
Solution Approach 2:
Manual quality control operations are replaced by an automated control device that uses computer processing and algorithmic analysis. The hardware processor automatically evaluates imaging quality based on framerate, system sensitivity, and image region data, substituting human manual inspection with automated computational analysis
2Reliability
If comprehensive quality control is implemented, then imaging quality improves, but system complexity increases
Solution Approach 1:
The control device is designed to perform multiple quality control functions simultaneously through a single integrated system. It evaluates framerate, system sensitivity, and image region metrics while generating comprehensive quality control information, achieving thorough quality assessment without requiring multiple separate complex systems
Solution Approach 2:
The system monitors and evaluates multiple imaging parameters including framerate, system sensitivity, and image region characteristics. By automatically adjusting and optimizing these parameters based on acquired imaging data, the system maintains high imaging quality while managing complexity through parameter-based control rather than structural complexity
Data Source
AI summary
Provided is a dynamic imaging quality control device that performs quality control concerning dynamic imaging in which dynamics of a subject is imaged by sequential radiation emissions to the subject. The dynamic imaging quality control device includes a hardware processor. The hardware processor presents information on the quality control. The information on the quality control includes at least one of information on a framerate, information on a system sensitivity, and information on an image region.