Automated segmentation of 3D cine cardiovascular magnetic resonance imaging

Automated segmentation of 3D cine cardiovascular magnetic resonance imaging

IntroductionAs the life expectancy of children with congenital heart disease (CHD) is rapidly increasing and the adult population with CHD is growing, there is an unmet need to improve clinical workflow and efficiency of analysis. Cardiovascular magnetic resonance (CMR) is a noninvasive imaging moda...

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Bibliographic Details
Main Authors: Soroosh Tayebi Arasteh, Jennifer Romanowicz, Danielle F. Pace, Polina Golland, Andrew J. Powell, Andreas K. Maier, Daniel Truhn, Tom Brosch, Juergen Weese, Mahshad Lotfinia, Rob J. van der Geest, Mehdi H. Moghari
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
congenital heart disease
deep learning
3D cine
CMR image analysis
automatic segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1167500/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1167500/full

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