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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924651/
https://www.ncbi.nlm.nih.gov/pubmed/31860686
http://dx.doi.org/10.1371/journal.pone.0226715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924651/
https://www.ncbi.nlm.nih.gov/pubmed/31860686
http://dx.doi.org/10.1371/journal.pone.0226715

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