Dynamic Imaging Quality Control Using Multi-Frame Stability Analysis
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Solution Overview
Problem
Quality control and quality assurance of dynamic imaging, which involves obtaining multiple frame images, have not been fully researched and developed, leading to issues such as misdiagnosis, increased radiologist burden, and inefficient operational processes, with potential temperature increases in radiation sources affecting radiation dose and pixel value accuracy.
Innovation Solution
A dynamic imaging quality control device and method that generates quality information using at least two frame images from a dynamic image, evaluating parameters like linearity, evenness, and temporal stability, to ensure accurate quality assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple frame images are obtained by continuously irradiating the subject with radiation, then dynamic imaging quality can be maintained, but the radiation source temperature increases leading to pixel value instability
Solution Approach 1:
The system performs quality control processing on multiple frame images before final diagnosis to detect temperature-induced pixel value changes in advance. By analyzing temporal variations across multiple frames, the system can identify drift caused by radiation source heating and compensate or flag these issues before they affect diagnostic accuracy.
2Object-affected harmful factors
If the dose per frame is reduced to minimize patient exposure, then patient safety is improved, but noise in pixel values increases
Solution Approach 1:
The system combines information from multiple low-dose frame images through temporal analysis and statistical processing. By aggregating data across multiple frames, the system achieves sufficient signal-to-noise ratio for quality control while maintaining low per-frame dose, thus protecting patient safety without sacrificing measurement precision.
Solution Approach 2:
The system continuously processes multiple frame images in sequence, performing quality control analysis across the entire dynamic sequence. This continuous processing allows the system to accumulate useful signal information over time while filtering out random noise, enabling accurate quality assessment at low per-frame doses.
3Reliability
If manual quality control is performed individually by radiologists, then quality assessment can be conducted, but operational efficiency decreases
Solution Approach 1:
The system performs automatic quality control processing of dynamic images without requiring individual radiologist intervention for each assessment. The automated system independently analyzes multiple frame images, detects quality issues, and generates results, thereby maintaining reliable quality assessment while dramatically improving operational efficiency and reducing radiologist workload.
Solution Approach 2:
The system provides automated feedback on dynamic image quality by analyzing multiple frame images and generating quality control results. This feedback mechanism enables rapid quality assessment and allows radiologists to focus on cases that require manual review, improving overall workflow efficiency while maintaining high quality standards.
Data Source
AI summary
A dynamic imaging quality control device performs quality control of dynamic imaging in which a dynamic state of a subject is imaged by irradiating the subject with radiation. The device includes a hardware processor that generates quality information regarding a quality of the dynamic imaging by using at least two frame images among multiple frame images constituting a dynamic image obtained by the dynamic imaging and outputs the quality information.