Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks

Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks

Abstract Background Cine Displacement Encoding with Stimulated Echoes (DENSE) facilitates the quantification of myocardial deformation, by encoding tissue displacements in the cardiovascular magnetic resonance (CMR) image phase, from which myocardial strain can be estimated with high accuracy and re...

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Bibliographic Details
Main Authors: Hugo Barbaroux, Karl P. Kunze, Radhouene Neji, Muhummad Sohaib Nazir, Dudley J. Pennell, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young
Format: Article
Language:English
Published: BMC 2023-03-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Cardiac
MRI
Strain
DENSE
Deep learning
Spatio-temporal
Online Access:https://doi.org/10.1186/s12968-023-00927-y

Internet

https://doi.org/10.1186/s12968-023-00927-y

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