Rapid whole-heart CMR with single volume super-resolution

Rapid whole-heart CMR with single volume super-resolution

Abstract Background Three-dimensional, whole heart, balanced steady state free precession (WH-bSSFP) sequences provide delineation of intra-cardiac and vascular anatomy. However, they have long acquisition times. Here, we propose significant speed-ups using a deep-learning single volume super-resolu...

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Bibliographic Details
Main Authors: Jennifer A. Steeden, Michael Quail, Alexander Gotschy, Kristian H. Mortensen, Andreas Hauptmann, Simon Arridge, Rodney Jones, Vivek Muthurangu
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Super-resolution
Whole-heart imaging
Machine learning
Rapid imaging
Convolutional neural network
Online Access:http://link.springer.com/article/10.1186/s12968-020-00651-x

Internet

http://link.springer.com/article/10.1186/s12968-020-00651-x

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