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

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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Detalhes bibliográficos
Main Authors: 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: Artigo
Idioma:English
Publicado em: Elsevier 2021-12-01
Colecção:Journal of Cardiovascular Magnetic Resonance
Assuntos:
Left ventricular dysfunction
Annotation
Residual neural networks
Acesso em linha:https://doi.org/10.1186/s12968-021-00824-2

Internet

https://doi.org/10.1186/s12968-021-00824-2

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