Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model

PURPOSE: We introduce and validate a scalable retrospective motion correction technique for brain imaging that incorporates a machine learning component into a model-based motion minimization. METHODS: A convolutional neural network (CNN) trained to remove motion artifacts from 2D T(2)-weighted RARE...

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Bibliografiska uppgifter
I publikationen:Magn Reson Med
Huvudupphovsmän: Haskell, Melissa W., Cauley, Stephen F., Bilgic, Berkin, Hossbach, Julian, Splitthoff, Daniel N., Pfeuffer, Josef, Setsompop, Kawin, Wald, Lawrence L.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2019
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6626557/
https://ncbi.nlm.nih.gov/pubmed/31045278
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27771
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