Renal DCE-MRI model selection using Bayesian probability theory

Authors

Scott C. Beeman, Washington University School of Medicine in St. Louis
Patrick Osei-Owusu, Washington University School of Medicine in St. Louis
Duan Chong, Washington University School of Medicine in St. Louis
John Engelbah, Washington University School of Medicine in St. Louis
Larry G. Bretthorst, Washington University School of Medicine in St. Louis
Joseph J. H Ackerman, Washington University School of Medicine in St. Louis
Kendall J. Blumer, Washington University School of Medicine in St. Louis
Joel R. Garbow, Washington University School of Medicine in St. Louis

Journal

Tomography

Publication Date

2015

Volume

1

Issue

1

First Page

61

Last Page

68

Document Type

Open Access Publication

DOI

10.18383/j.tom.2015.00133

Rights and Permissions

Beeman SC, Osei-Owusu P, Duan C, Engelbach J, Bretthorst GL, Ackerman JJH, Blumer KJ, Garbow JR. Renal DCE-MRI Model Selection Using Bayesian Probability Theory. Tomography. 2015 Sep;1(1):61-68. doi: 10.18383/j.tom.2015.00133 © 2015 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/4.0/). ISSN 2379-1381

Recommended Citation

Beeman, Scott C.; Osei-Owusu, Patrick; Chong, Duan; Engelbah, John; Bretthorst, Larry G.; Ackerman, Joseph J. H; Blumer, Kendall J.; and Garbow, Joel R., "Renal DCE-MRI model selection using Bayesian probability theory." Tomography. 1, 1. 61 - 68. (2015).
https://digitalcommons.wustl.edu/open_access_pubs/8145