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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Vydáno v:Magn Reson Imaging
Hlavní autoři: Hainline, Allison E., Nath, Vishwesh, Parvathaneni, Prasanna, Schilling, Kurt G., Blaber, Justin A., Anderson, Adam W., Kang, Hakmook, Landman, Bennett A.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
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Article
On-line přístup: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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