Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium

Abstract Background Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial volume without compromising accuracy or reliability. Rather than deployin...

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Autores principales:	Constantin Anastasopoulos, Shan Yang, Maurice Pradella, Tugba Akinci D’Antonoli, Sven Knecht, Joshy Cyriac, Marco Reisert, Elias Kellner, Rita Achermann, Philip Haaf, Bram Stieltjes, Alexander W. Sauter, Jens Bremerich, Gregor Sommer, Ahmed Abdulkadir
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Magnetic resonance imaging Heart atria Artificial intelligence Workflow Atrial fibrillation Biplane area-length method Diseases of the circulatory (Cardiovascular) system RC666-701
Acceso en línea:	https://doaj.org/article/2c7dad674455468f9cb132fffb8fde99
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Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium

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