Parameter optimisation for image acquisition and stacking in carbon dioxide digital subtraction angiography.

Autor: Kakuta K; Department of Disaster Medicine, Fukushima Medical University Hospital, Fukushima, Japan. kakuta-k@fmu.ac.jp.; Department of Radiology, Fukushima Medical University Hospital, Fukushima, Japan. kakuta-k@fmu.ac.jp., Chida K; Department of Radiological Technology, Faculty of Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan.
Jazyk: angličtina
Zdroj: Radiological physics and technology [Radiol Phys Technol] 2024 Dec; Vol. 17 (4), pp. 862-868. Date of Electronic Publication: 2024 Sep 09.
DOI: 10.1007/s12194-024-00841-7
Abstrakt: The aim of this study was to optimise the vessel angle as well as the stack number from the profiles of carbon dioxide digital subtraction angiography (CO 2 -DSA) images of a water phantom containing an artificial vessel tilted at different angles which imitate arteries in the body. The artificial vessel was tilted at 0°, 15°, and 30° relative to the horizontal axis with its centre as the pivot point, and CO 2 -DSA images were acquired at each vessel tilt angle. The maximum opacity method was used to stack up to four images of the next frame one by one. The signal-to-noise ratio (SNR) was determined from the profile curves. The Wilcoxon rank sum test was used to evaluate whether the profile curve and SNR differed depending on the vessel tilt angle or stack number, and a p-value of less than 0.05 was considered statistically significant. Images acquired at 0° had a significantly lower SNR than images acquired at 15° (p = 0.10). When the vessel angle was 30°, the profile curves were significantly improved (p < 0.05) when two or more images were stacked over the original image. Images with a good SNR were acquired at the vessel tilt angle of 15°, and the shape of the profile curve was improved when two or more images were stacked on the original image. This study demonstrates that the quality of images acquired using CO 2 -DSA can be significantly improved through parameter optimisation for image acquisition and post-processing.
Competing Interests: Declarations. Conflicts of interest: All authors have no conflicts of interest to declare. Ethics approval: Not applicable because this study is a phantom study. Statement of human and animal rights: There were no animals or humans involved in this study. Informed consent: There were no human subjects involved in this work.
(© 2024. The Author(s), under exclusive licence to Japanese Society of Radiological Technology and Japan Society of Medical Physics.)
Databáze: MEDLINE
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