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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:Magn Reson Imaging
Autores principales: 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.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2019
Materias:
Article
Acceso en línea: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
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares