Despite the low spatial resolution of 2D-multisegment late gadolinium enhancement (2D-MSLGE) sequences, it may be useful in uncooperative patients instead of standard 2D single segmented inversion recovery gradient echo late gadolinium enhancement sequences (2D-SSLGE). The aim of the study is to assess the feasibility and comparison of 2D-MSLGE reconstructed with artificial intelligence reconstruction deep learning noise reduction (NR) algorithm compared to standard 2D-SSLGE in consecutive patients with ischemic cardiomyopathy (ICM).

Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm

Gatti, Marco;
2021-01-01

Abstract

Despite the low spatial resolution of 2D-multisegment late gadolinium enhancement (2D-MSLGE) sequences, it may be useful in uncooperative patients instead of standard 2D single segmented inversion recovery gradient echo late gadolinium enhancement sequences (2D-SSLGE). The aim of the study is to assess the feasibility and comparison of 2D-MSLGE reconstructed with artificial intelligence reconstruction deep learning noise reduction (NR) algorithm compared to standard 2D-SSLGE in consecutive patients with ischemic cardiomyopathy (ICM).
2021
Sep 10
10
1
7
Artificial intelligence; Deep learning reconstruction; Image noise; Ischemic cardiomyopathy; Late gadolinium enhancement
Muscogiuri, Giuseppe; Martini, Chiara; Gatti, Marco; Dell'Aversana, Serena; Ricci, Francesca; Guglielmo, Marco; Baggiano, Andrea; Fusini, Laura; Bracciani, Aurora; Scafuri, Stefano; Andreini, Daniele; Mushtaq, Saima; Conte, Edoardo; Gripari, Paola; Annoni, Andrea Daniele; Formenti, Alberto; Mancini, Maria Elisabetta; Bonfanti, Lorenzo; Guaricci, Andrea Igoren; Janich, Martin A; Rabbat, Mark G; Pompilio, Giulio; Pepi, Mauro; Pontone, Gianluca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1802178
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