Evaluating multisite rCBV consistency from DSC-MRI imaging protocols and postprocessing software across the NCI Quantitative Imaging Network sites using a digital reference object (DRO)

Authors

Laura C. Bell, Barrow Neurological Institute
Hongyu An, Washington University School of Medicine in St. Louis
Cihat Eldeniz, Washington University School of Medicine in St. Louis
Richard Wahl, Washington University School of Medicine in St. Louis
et al

Journal

Tomography

Publication Date

2019

Volume

5

Issue

1

First Page

110

Last Page

117

Document Type

Open Access Publication

DOI

10.18383/j.tom.2018.00041

Rights and Permissions

Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, Prah MA, Erickson BJ, Korfiatis P, Wu C, Sorace AG, Yankeelov TE, Rutledge N, Chenevert TL, Malyarenko D, Liu Y, Brenner A, Hu LS, Zhou Y, Boxerman JL, Yen YF, Kalpathy-Cramer J, Beers AL, Muzi M, Madhuranthakam AJ, Pinho M, Johnson B, Quarles CC. Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). Tomography. 2019 Mar;5(1):110-117. doi: 10.18383/j.tom.2018.00041. © 2019 The Authors. Published by Grapho Publications, LLC This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Recommended Citation

Bell, Laura C.; An, Hongyu; Eldeniz, Cihat; Wahl, Richard; and al, et, "Evaluating multisite rCBV consistency from DSC-MRI imaging protocols and postprocessing software across the NCI Quantitative Imaging Network sites using a digital reference object (DRO)." Tomography. 5, 1. 110 - 117. (2019).
https://digitalcommons.wustl.edu/open_access_pubs/8140