Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines

The processing of brain diffusion tensor imaging (DTI) data for large cohort studies requires fully automatic pipelines to perform quality control (QC) and artifact/outlier removal procedures on the raw DTI data prior to calculation of diffusion parameters. In this study, three automatic DTI process...

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Udgivet i:PLoS One
Main Authors: Haddad, Seyyed M. H., Scott, Christopher J. M., Ozzoude, Miracle, Holmes, Melissa F., Arnott, Stephen R., Nanayakkara, Nuwan D., Ramirez, Joel, Black, Sandra E., Dowlatshahi, Dar, Strother, Stephen C., Swartz, Richard H., Symons, Sean, Montero-Odasso, Manuel, Bartha, Robert
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2019
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6924651/
https://ncbi.nlm.nih.gov/pubmed/31860686
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0226715
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