Details

Autor(en) / Beteiligte

• Benz, Dominik C
• Gräni, Christoph
• Mikulicic, Fran
• Vontobel, Jan
• Fuchs, Tobias A
• Possner, Mathias
• Clerc, Olivier F
• Stehli, Julia
• Gaemperli, Oliver
• Pazhenkottil, Aju P
• Buechel, Ronny R
• Kaufmann, Philipp A

Titel

Adaptive Statistical Iterative Reconstruction-V: Impact on Image Quality in Ultralow-Dose Coronary Computed Tomography Angiography

Ist Teil von

• Journal of computer assisted tomography, 2016-11, Vol.40 (6), p.958-963

Ort / Verlag

United States

Erscheinungsjahr

2016

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• The clinical utility of a latest generation iterative reconstruction algorithm (adaptive statistical iterative reconstruction [ASiR-V]) has yet to be elucidated for coronary computed tomography angiography (CCTA). This study evaluates the impact of ASiR-V on signal, noise and image quality in CCTA. Sixty-five patients underwent clinically indicated CCTA on a 256-slice CT scanner using an ultralow-dose protocol. Data sets from each patient were reconstructed at 6 different levels of ASiR-V. Signal intensity was measured by placing a region of interest in the aortic root, LMA, and RCA. Similarly, noise was measured in the aortic root. Image quality was visually assessed by 2 readers. Median radiation dose was 0.49 mSv. Image noise decreased with increasing levels of ASiR-V resulting in a significant increase in signal-to-noise ratio in the RCA and LMA (P < 0.001). Correspondingly, image quality significantly increased with higher levels of ASiR-V (P < 0.001). ASiR-V yields substantial noise reduction and improved image quality enabling introduction of ultralow-dose CCTA.