Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction

Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction

ABSTRACT: Background: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) to decrease acquisition time without com...

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Bibliographic Details
Main Authors: Katerina Eyre, Moezedin Javad Rafiee, Margherita Leo, Junjie Ma, Elizabeth Hillier, Negin Amini, Josephine Pressacco, Martin A. Janich, Xucheng Zhu, Matthias G. Friedrich, Michael Chetrit
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Cardiac function
CMR
Deep learning reconstruction
Accelerated imaging
Diagnostic accuracy
Clinical utility
Online Access:http://www.sciencedirect.com/science/article/pii/S1097664724010962
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http://www.sciencedirect.com/science/article/pii/S1097664724010962

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