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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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2019
Konular:
Research Article
Online Erişim: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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