Correction of Motion Artifacts Using a Multiscale Fully Convolutional Neural Network

BACKGROUND AND PURPOSE: Motion artifacts are a frequent source of image degradation in the clinical application of MR imaging (MRI). Here we implement and validate an MRI motion-artifact correction method using a multiscale fully convolutional neural network. MATERIALS AND METHODS: The network was t...

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Bibliographic Details
Published in:AJNR Am J Neuroradiol
Main Authors: Sommer, K., Saalbach, A., Brosch, T., Hall, C., Cross, N.M., Andre, J.B.
Format: Artigo
Language:Inglês
Published: American Society of Neuroradiology 2020
Subjects:
Adult Brain
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7077919/
https://ncbi.nlm.nih.gov/pubmed/32054615
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6436
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