Literature DB >> 27560012

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

Dominik C Benz1, Christoph Gräni, Fran Mikulicic, Jan Vontobel, Tobias A Fuchs, Mathias Possner, Olivier F Clerc, Julia Stehli, Oliver Gaemperli, Aju P Pazhenkottil, Ronny R Buechel, Philipp A Kaufmann.   

Abstract

OBJECTIVE: 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.
METHODS: 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.
RESULTS: 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).
CONCLUSIONS: ASiR-V yields substantial noise reduction and improved image quality enabling introduction of ultralow-dose CCTA.

Entities:  

Mesh:

Year:  2016        PMID: 27560012     DOI: 10.1097/RCT.0000000000000460

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  19 in total

1.  Reducing both radiation and contrast doses in coronary CT angiography in lean patients on a 16-cm wide-detector CT using 70 kVp and ASiR-V algorithm, in comparison with the conventional 100-kVp protocol.

Authors:  Yuhuan Chen; Zhentang Liu; Michelle Li; Yong Yu; Yongjun Jia; Guangming Ma; Zhijun Hu; DongHong Wei; Dou Li; Taiping He
Journal:  Eur Radiol       Date:  2018-11-30       Impact factor: 5.315

2.  Potential value of the PixelShine deep learning algorithm for increasing quality of 70 kVp+ASiR-V reconstruction pelvic arterial phase CT images.

Authors:  Shi-Feng Tian; Ai-Lian Liu; Jing-Hong Liu; Yi-Jun Liu; Ju-Dong Pan
Journal:  Jpn J Radiol       Date:  2018-12-06       Impact factor: 2.374

Review 3.  Imaging the event-prone coronary artery plaque.

Authors:  Andreas A Giannopoulos; Dominik C Benz; Christoph Gräni; Ronny R Buechel
Journal:  J Nucl Cardiol       Date:  2017-07-06       Impact factor: 5.952

4.  A low-dose and an ultra-low-dose contrast agent protocol for coronary CT angiography in a clinical setting: quantitative and qualitative comparison to a standard dose protocol.

Authors:  Dominik C Benz; Christoph Gräni; Beatrice Hirt Moch; Fran Mikulicic; Jan Vontobel; Tobias A Fuchs; Julia Stehli; Olivier F Clerc; Mathias Possner; Aju P Pazhenkottil; Oliver Gaemperli; Ronny R Buechel; Philipp A Kaufmann
Journal:  Br J Radiol       Date:  2017-05-25       Impact factor: 3.039

5.  Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction-V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions.

Authors:  Martin H Goodenberger; Nicolaus A Wagner-Bartak; Shiva Gupta; Xinming Liu; Ramon Q Yap; Jia Sun; Eric P Tamm; Corey T Jensen
Journal:  J Comput Assist Tomogr       Date:  2018 Mar/Apr       Impact factor: 1.826

6.  Low-dose CT angiography using ASiR-V for potential living renal donors: a prospective analysis of image quality and diagnostic accuracy.

Authors:  Woong Kyu Han; Joon Chae Na; Sung Yoon Park
Journal:  Eur Radiol       Date:  2019-08-30       Impact factor: 5.315

7.  Assessment of noise reduction potential and image quality improvement of a new generation adaptive statistical iterative reconstruction (ASIR-V) in chest CT.

Authors:  Hui Tang; Nan Yu; Yongjun Jia; Yong Yu; Haifeng Duan; Dong Han; Guangming Ma; Chenglong Ren; Taiping He
Journal:  Br J Radiol       Date:  2017-11-16       Impact factor: 3.039

Review 8.  Recent advances in cardiac computed tomography dose reduction strategies: a review of scientific evidence and technical developments.

Authors:  Sandeep S Hedgire; Vinit Baliyan; Brian B Ghoshhajra; Mannudeep K Kalra
Journal:  J Med Imaging (Bellingham)       Date:  2017-08-24

9.  Clinical value of a new generation adaptive statistical iterative reconstruction (ASIR-V) in the diagnosis of pulmonary nodule in low-dose chest CT.

Authors:  Hui Tang; Zhentang Liu; Zhijun Hu; Taiping He; Dou Li; Nan Yu; Yongjun Jia; Hong Shi
Journal:  Br J Radiol       Date:  2019-09-06       Impact factor: 3.039

10.  Impact of preset and postset adaptive statistical iterative reconstruction-V on image quality in nonenhanced abdominal-pelvic CT on wide-detector revolution CT.

Authors:  Zheng Zhu; Yanfeng Zhao; Xinming Zhao; Xiaoyi Wang; Weijun Yu; Mancang Hu; Xuan Zhang; Chunwu Zhou
Journal:  Quant Imaging Med Surg       Date:  2021-01
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