MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks

Background: Quantitative cardiovascular magnetic resonance (CMR) T1 mapping has shown promise for advanced tissue characterisation in routine clinical practise. However, T1 mapping is prone to motion artefacts, which affects its robustness and clinical interpretation. Current methods for motion corr...

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Auteurs principaux: Ricardo A. Gonzales, Qiang Zhang, Bartłomiej W. Papież, Konrad Werys, Elena Lukaschuk, Iulia A. Popescu, Matthew K. Burrage, Mayooran Shanmuganathan, Vanessa M. Ferreira, Stefan K. Piechnik
Format: article
Langue:EN
Publié: Frontiers Media S.A. 2021
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Accès en ligne:https://doaj.org/article/b23d9ebf5a7e48dd830b04b907644f6b
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