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Uniformity test in three-dimensional rotational angiography: Novel tools and methods for advanced performance
1Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Kampus UI Depok 16424, Indonesia.
Radiography (London, England : 1995)
|November 21, 2024
Summary
New methods and in-house software offer comprehensive uniformity testing for three-dimensional rotational angiography (3DRA) images, improving quality control beyond current sampling methods. This enhances the detection of image non-uniformities for better clinical application.
Area of Science:
- Medical Imaging Physics
- Quality Control in Diagnostic Imaging
- Image Processing and Analysis
Background:
- Current American Association of Physicists in Medicine (AAPM) Task Group (TG) 238 guidelines for three-dimensional rotational angiography (3DRA) uniformity testing use a limited sampling method.
- This sampling method is a sub-optimal predictor of 3DRA image quality issues, despite its widespread use in automated quality control software.
- There is a need for more comprehensive uniformity testing methods to ensure optimal 3DRA image quality.
Purpose of the Study:
- To propose novel methods for comprehensive uniformity testing of 3DRA images.
- To develop an in-house software tool for enhanced 3DRA image uniformity assessment.
- To improve upon the limitations of existing uniformity testing procedures.
Main Methods:
- Uniformity evaluation techniques were adapted from AAPM TG-238 and European Reference Organisation for Quality Assured Breast Screening and Diagnostic Services (EUREF) guidelines.
- Key parameters assessed included mean pixel value (MPV) and signal-to-noise ratio (SNR), with limiting values from AAPM TG-238.
- An in-house software was developed to provide numerical data and visual display of non-uniformities using detected regions of interest (ROIs).
Main Results:
- New evaluation methods necessitate the re-evaluation of established limiting values for uniformity assessment.
- The sensitivity of a method in detecting and visually displaying non-uniformities is crucial for selecting the optimal uniformity testing approach.
- The developed software effectively visualizes image uniformity and aids in identifying potential quality issues.
Conclusions:
- The proposed new evaluation techniques offer a more thorough assessment of 3DRA image uniformity compared to existing methods.
- Further research is required to refine the pass/fail criteria and limitation values for the new uniformity testing protocols.
- The in-house software facilitates the visualization of image uniformity, supporting the selection of appropriate imaging modes for clinical needs.
