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...

Full description

Saved in:

Bibliographic Details
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
Format:	article
Language:	EN
Published:	BMC 2021
Subjects:	Left ventricular dysfunction Annotation Residual neural networks Diseases of the circulatory (Cardiovascular) system RC666-701
Online Access:	https://doaj.org/article/51c36b8cfc70449b9be8ef86d76f3d88
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items