Dynamic Imaging Quality Control Using Movement Distance
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Solution Overview
Problem
Quality control of dynamic imaging in medical fields has not been fully developed, leading to issues such as data loss, jerky motion in images, and potential misdiagnosis due to insufficient frame rates and frame data leakage, especially in settings lacking experienced radiographers.
Innovation Solution
A dynamic imaging quality control device and method that analyzes dynamic image data to evaluate the smoothness of image motion by calculating the movement distance of objects within the image, ensuring the frame rate and data quality meet specific criteria to maintain image smoothness and prevent jerky motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic imaging is performed without automated quality control, then operational flexibility is maintained, but image quality consistency deteriorates and misdiagnosis risk increases
Solution Approach 1:
The imaging system performs self-diagnosis by automatically evaluating its own image quality metrics. The quality control device analyzes dynamic image data to detect frame rate compliance, data loss, and motion smoothness without requiring external expert intervention, enabling the system to serve its own quality control needs.
Solution Approach 2:
The patent replaces manual quality control (mechanical/human inspection) with automated computational analysis. The system uses algorithmic processing of dynamic image data to evaluate quality parameters, substituting human radiographer assessment with machine-based automated evaluation.
2Measurement precision
If manual quality control is performed by inexperienced radiographers, then operational cost is reduced, but detection precision of image quality issues deteriorates
Solution Approach 1:
The system replaces human visual inspection and manual quality control with automated computational analysis. The quality control device uses algorithmic processing to detect frame rate compliance, data loss, and motion smoothness issues with consistent precision, eliminating variability in human assessment capability.
Solution Approach 2:
The system implements automated feedback loops where image quality metrics are continuously evaluated and used to adjust or alert on system performance. The quality control device provides real-time or near-real-time feedback on whether imaging parameters meet quality standards, enabling immediate corrective action.
3Reliability
If frame rate is increased to capture smooth motion, then image smoothness improves, but data transfer loss and storage requirements increase
Solution Approach 1:
The quality control device monitors frame rate compliance and data integrity, providing feedback on whether the imaging system is maintaining adequate frame rates without excessive data loss. This feedback mechanism helps optimize the balance between capturing smooth motion and managing data transfer/storage constraints.
Data Source
AI summary
A dynamic imaging quality control device that performs quality control regarding dynamic imaging in which a dynamic state of a subject is captured by sequentially emitting radiation to the subject, the dynamic imaging quality control device including: an obtainer that obtains dynamic image data including multiple pieces of frame image data obtained by the dynamic imaging; and a hardware processor that: generates information on quality control regarding smoothness of a dynamic image based on a movement distance of a predetermined object of the subject in the dynamic image data, and outputs the information on the quality control regarding the smoothness of the dynamic image.