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

Giuseppe Muscogiuri, Chiara Martini, Marco Gatti, Serena Dell’Aversana, Francesca Ricci, Marco Guglielmo, Andrea Baggiano, Laura Fusini, Aurora Bracciani, Stefano Scafuri, Daniele Andreini, Saima Mushtaq, Edoardo Conte, Paola Gripari, Andrea Annoni, Alberto Formenti, Maria Elisabetta Mancini, Lorenzo Bonfanti, Andrea Igoren Guaricci, Martin Janich, Mark Rabbat, Giulio Pompilio, Mauro Pepi, Gianluca Pontone

2021International Journal of Cardiology52 citationsDOI

Topics & Concepts

MedicineImage qualityNuclear medicineAlgorithmNoise reductionSignal-to-noise ratio (imaging)GadoliniumArtificial intelligenceRadiologyImage (mathematics)Computer sciencePhysicsOpticsMetallurgyMaterials scienceCardiac Imaging and DiagnosticsCoronary Interventions and DiagnosticsCardiac pacing and defibrillation studies
Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm | Litcius