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MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI

We introduce a model-based deep learning architecture termed MoDL-MUSSELS for the correction of phase errors in multishot diffusion-weighted echo-planar MR images. The proposed algorithm is a generalization of the existing MUSSELS algorithm with similar performance but significantly reduced computat...

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Detalles Bibliográficos
Publicado en:IEEE Trans Med Imaging
Main Authors: Aggarwal, Hemant K., Mani, Merry P., Jacob, Mathews
Formato: Artigo
Idioma:Inglês
Publicado: 2019
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7894613/
https://ncbi.nlm.nih.gov/pubmed/31603819
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2019.2946501
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