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...

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Bibliografiset tiedot
Julkaisussa:Magn Reson Imaging
Päätekijät: Nath, Vishwesh, Schilling, Kurt G., Parvathaneni, Prasanna, Hansen, Colin B., Hainline, Allison E., Huo, Yuankai, Blaber, Justin A., Lyu, Ilwoo, Janve, Vaibhav, Gao, Yurui, Stepniewska, Iwona, Anderson, Adam W., Landman, Bennett A.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2019
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Article
Linkit: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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