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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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| Veröffentlicht in: | Proc IEEE Int Symp Biomed Imaging |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | 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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