4DFlowNet: Super-Resolution 4D Flow MRI Using Deep Learning and Computational Fluid Dynamics

4DFlowNet: Super-Resolution 4D Flow MRI Using Deep Learning and Computational Fluid Dynamics

4D flow magnetic resonance imaging (MRI) is an emerging imaging technique where spatiotemporal 3D blood velocity can be captured with full volumetric coverage in a single non-invasive examination. This enables qualitative and quantitative analysis of hemodynamic flow parameters of the heart and grea...

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Bibliographic Details
Main Authors: Edward Ferdian, Avan Suinesiaputra, David J. Dubowitz, Debbie Zhao, Alan Wang, Brett Cowan, Alistair A. Young
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Physics
Subjects:
4D flow MRI
super resolution network
SRResNet
deep learning
computational fluid dynamics
CFD
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2020.00138/full

Internet

https://www.frontiersin.org/article/10.3389/fphy.2020.00138/full

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