MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

Abstract Background Mitral annular plane systolic excursion (MAPSE) and left ventricular (LV) early diastolic velocity (e’) are key metrics of systolic and diastolic function, but not often measured by cardiovascular magnetic resonance (CMR). Its derivation is possible with manual, precise annotatio...

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Autores principales:	Ricardo A. Gonzales, Felicia Seemann, Jérôme Lamy, Hamid Mojibian, Dan Atar, David Erlinge, Katarina Steding-Ehrenborg, Håkan Arheden, Chenxi Hu, John A. Onofrey, Dana C. Peters, Einar Heiberg
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Left ventricular dysfunction Annotation Residual neural networks Diseases of the circulatory (Cardiovascular) system RC666-701
Acceso en línea:	https://doaj.org/article/51c36b8cfc70449b9be8ef86d76f3d88
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MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

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