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MULTI-SHOT SENSITIVITY-ENCODED DIFFUSION MRI USING MODEL-BASED DEEP LEARNING (MODL-MUSSELS)

We propose a model-based deep learning architecture for the correction of phase errors in multishot diffusion-weighted echo-planar MRI images. This work is a generalization of MUSSELS, which is a structured low-rank algorithm. We show that an iterative reweighted least-squares implementation of MUSS...

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Bibliografische gegevens
Gepubliceerd in:Proc IEEE Int Symp Biomed Imaging
Hoofdauteurs: Aggarwal, Hemant K., Mani, Merry P., Jacob, Mathews
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7879460/
https://ncbi.nlm.nih.gov/pubmed/33584974
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2019.8759514
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