Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control

Abstract Background Tissue characterisation with cardiovascular magnetic resonance (CMR) parametric mapping has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by late gadolinium enhancement. Native T1 mapping in particular has shown pro...

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Bibliographic Details
Main Authors: Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Pier-Giorgio Masci, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Native T1 mapping
Convolutional neural networks
Automatic analysis
Cardiac MR Segmentation
Quality control
UK Biobank
Online Access:http://link.springer.com/article/10.1186/s12968-020-00650-y

Internet

http://link.springer.com/article/10.1186/s12968-020-00650-y

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