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

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...

Full description

Bibliographic Details
Main Authors: Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Melissa F Holmes, Stephen R Arnott, Nuwan D Nanayakkara, Joel Ramirez, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226715&type=printable

Internet

https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226715&type=printable

Similar Items