Real-time motion analytics during brain MRI improve data quality and reduce costs

Authors

Nico U.F. Dosenbach, Washington University School of Medicine in St. Louis
Jonathan M. Koller, Washington University School of Medicine in St. Louis
Eric A. Earl, Oregon Health & Science University
Oscar Miranda-Dominguez, Oregon Health & Science University
Rachel L. Klein, Oregon Health & Science University
Andrew N. Van, Washington University School of Medicine in St. Louis
Abraham Z. Snyder, Washington University School of Medicine in St. Louis
Bonnie J. Nagel, Oregon Health & Science University
Joel T. Nigg, Oregon Health & Science University
Annie L. Nguyen, Washington University School of Medicine in St. Louis
Victoria Wesevich, Washington University School of Medicine in St. Louis
Deanna J. Greene, Washington University School of Medicine in St. Louis
Damien A. Fair, Oregon Health & Science University

Journal

NeuroImage

Publication Date

2017

Volume

161

Inclusive Pages

80-93

Document Type

Open Access Publication

DOI

10.1016/j.neuroimage.2017.08.025

Rights and Permissions

Dosenbach NUF, Koller JM, Earl EA, et al (2017) Real-time motion analytics during brain MRI improve data quality and reduce costs. NeuroImage, 161:80-93. https://doi.org/10.1016/j.neuroimage.2017.08.025 © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Recommended Citation

Dosenbach, Nico U.F.; Koller, Jonathan M.; Earl, Eric A.; Miranda-Dominguez, Oscar; Klein, Rachel L.; Van, Andrew N.; Snyder, Abraham Z.; Nagel, Bonnie J.; Nigg, Joel T.; Nguyen, Annie L.; Wesevich, Victoria; Greene, Deanna J.; and Fair, Damien A., "Real-time motion analytics during brain MRI improve data quality and reduce costs." NeuroImage. 161, 80-93. (2017).
https://digitalcommons.wustl.edu/open_access_pubs/7036