Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping

Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping

Abstract Background Cardiovascular magnetic resonance (CMR) cine displacement encoding with stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement into the signal phase, facilitating high accuracy and reproducibility of global and segmental myocardial strain and providin...

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Bibliographic Details
Main Authors: Sona Ghadimi, Daniel A. Auger, Xue Feng, Changyu Sun, Craig H. Meyer, Kenneth C. Bilchick, Jie Jane Cao, Andrew D. Scott, John N. Oshinski, Daniel B. Ennis, Frederick H. Epstein
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
DENSE
Cardiac MRI
Machine learning
Deep learning
Phase unwrapping
Strain analysis
Online Access:https://doi.org/10.1186/s12968-021-00712-9

Internet

https://doi.org/10.1186/s12968-021-00712-9

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