Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Electrocardiographic mapping (ECGI) detects reentrant drivers (RDs) that perpetuate arrhythmia in persistent AF (PsAF). Patient-specific computational models derived from late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) identify all latent sites in the fibrotic substrate that could pote...

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Bibliographic Details
Main Authors: Patrick M. Boyle, Joe B. Hakim, Sohail Zahid, William H. Franceschi, Michael J. Murphy, Edward J. Vigmond, Rémi Dubois, Michel Haïssaguerre, Mélèze Hocini, Pierre Jaïs, Natalia A. Trayanova, Hubert Cochet
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
reentrant drivers
fibrotic remodeling
ablation
computational modeling
electrocardiographic mapping
Online Access:http://journal.frontiersin.org/article/10.3389/fphys.2018.00414/full

Internet

http://journal.frontiersin.org/article/10.3389/fphys.2018.00414/full

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