Deep learning reconstruction versus iterative reconstruction for cardiac CT angiography in a stroke imaging protocol: reduced radiation dose and improved image quality

To assess the radiation dose and image quality of cardiac computed tomography angiography (CCTA) in an acute stroke imaging protocol using a deep learning reconstruction (DLR) method compared to a hybrid iterative reconstruction algorithm. Retrospective analysis of 296 consecutive patients admitted...

Full description

Bibliographic Details

Published in:	Quantitative imaging in medicine and surgery Vol. 11; no. 1; p. 392
Main Authors:	Bernard, Angélique, Comby, Pierre-Olivier, Lemogne, Brivaël, Haioun, Karim, Ricolfi, Frédéric, Chevallier, Olivier, Loffroy, Romaric
Format:	Journal Article
Language:	English
Published:	China 01.01.2021
Subjects:	deep learning Computed tomography angiography (CTA) image reconstruction artificial intelligence cardiac imaging
ISSN:	2223-4292
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!