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. Muscogiuri G, Martini C, Gatti M, Dell'Aversana S, Ricci F, Guglielmo M, Baggiano A, Fusini L, Bracciani A, Scafuri S, Andreini D, Mushtaq S, Conte E, Gripari P, Annoni AD, Formenti A, Mancini ME, Bonfanti L, Guaricci AI, Janich MA, Rabbat MG, Pompilio G, Pepi M, Pontone G. Int J Cardiol. 2021 Sep 10:S0167-5273(21)01335-8. doi: 10.1016/j.ijcard.2021.09.012