A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging

The ability to evaluate empirical diffusion MRI acquisitions for quality and to correct the resulting imaging metrics allows for improved inference and increased replicability. Previous work has shown promise for estimation of bias and variance of generalized fractional anisotropy (GFA) but comes at...

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Detalles Bibliográficos
Publicado en:Magn Reson Imaging
Main Authors: Hainline, Allison E., Nath, Vishwesh, Parvathaneni, Prasanna, Schilling, Kurt G., Blaber, Justin A., Anderson, Adam W., Kang, Hakmook, Landman, Bennett A.
Formato: Artigo
Idioma:Inglês
Publicado: 2019
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6818965/
https://ncbi.nlm.nih.gov/pubmed/30926560
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.03.021
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