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Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI
PURPOSE: Diffusion-weighted magnetic resonance imaging (DW-MRI) is of critical importance for characterizing in-vivo white matter. Models relating microarchitecture to observed DW-MRI signals as a function of diffusion sensitization are the lens through which DW-MRI data are interpreted. Numerous mo...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Magn Reson Imaging |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6748654/ https://ncbi.nlm.nih.gov/pubmed/31323317 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.07.012 |
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