Ta, Allison D.
Hsu, Li-Yueh
Conn, Hannah M.
Winkler, Susanne
Greve, Anders M.
Shanbhag, Sujata M.
Chen, Marcus Y.
Patricia Bandettini, W.
Arai, Andrew E.
Funding for this research was provided by:
National Heart, Lung, and Blood Institute (HL006137-02, HL006137-03, HL006137-04, HL006137 07)
Sarnoff Cardiovascular Research Fellowship Program
This article is maintained by: Elsevier
Article Title: Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis
Journal Title: Journal of Cardiovascular Magnetic Resonance
CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-018-0436-0
Content Type: article
Copyright: Copyright © 2018 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance. Published by Elsevier Inc.