Impact of Deep Learning-based Optimization Algorithm on Image Quality of Low-dose Coronary CT Angiography with Noise Reduction: A Prospective Study-Reference-Cited by-同舟云学术

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Impact of Deep Learning-based Optimization Algorithm on Image Quality of Low-dose Coronary CT Angiography with Noise Reduction: A Prospective Study

Published:2020-09 Issue:9 Volume:27 Page:1241-1248
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Liu Peijun,Wang Man,Wang Yining,Yu Min,Wang Yun,Liu Zhuoheng,Li Yumei,Jin Zhengyu

Funder

National Natural Science Foundation of China

MOST

Non-profit Central Research Institute Fund of

Chinese Academy of Medical Sciences

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference29 articles.

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2. Radiation risks from cardiovascular imaging tests;Meinel;Circulation,2014

3. Risk of intravenous contrast material-mediated acute kidney injury: a propensity score-matched study stratified by baseline-estimated glomerular filtration rate;McDonald;Radiology,2014

4. Combined use of automatic tube potential selection with tube current modulation and iterative reconstruction technique in coronary CT angiography;Suh;Radiology,2013

5. Low contrast- and low radiation dose protocol for cardiac CT of thin adults at 256-row CT: usefulness of low tube voltage scans and the hybrid iterative reconstruction algorithm;Nakaura;Int J Cardiovasc Imaging,2013

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