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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Detalles Bibliográficos
Autores principales: Gonzales, Ricardo A., Zhang, Qiang, Papież, Bartłomiej W., Werys, Konrad, Lukaschuk, Elena, Popescu, Iulia A., Burrage, Matthew K., Shanmuganathan, Mayooran, Ferreira, Vanessa M., Piechnik, Stefan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649951/
https://www.ncbi.nlm.nih.gov/pubmed/34888366
http://dx.doi.org/10.3389/fcvm.2021.768245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649951/
https://www.ncbi.nlm.nih.gov/pubmed/34888366
http://dx.doi.org/10.3389/fcvm.2021.768245

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