Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning–based filter using convolutional neural network

OBJECTIVES: To reveal the utility of motion artifact reduction with convolutional neural network (MARC) in gadoxetate disodium–enhanced multi-arterial phase MRI of the liver. METHODS: This retrospective study included 192 patients (131 men, 68.7 ± 10.3 years) receiving gadoxetate disodium–enhanced l...

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Détails bibliographiques
Publié dans:Eur Radiol
Auteurs principaux: Kromrey, M.-L., Tamada, D., Johno, H., Funayama, S., Nagata, N., Ichikawa, S., Kühn, J.-P., Onishi, H., Motosugi, U.
Format: Artigo
Langue:Inglês
Publié: Springer Berlin Heidelberg 2020
Sujets:
Contrast Media
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7651696/
https://ncbi.nlm.nih.gov/pubmed/32556463
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07006-1
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