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2D cine DENSE with low encoding frequencies accurately quantifies cardiac mechanics with improved image characteristics

Crossref DOI link: https://doi.org/10.1186/s12968-015-0196-z

Published Print: 2015-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Wehner, Gregory J.

Grabau, Jonathan D.

Suever, Jonathan D.

Haggerty, Christopher M.

Jing, Linyuan

Powell, David K.

Hamlet, Sean M.

Vandsburger, Moriel H.

Zhong, Xiaodong

Fornwalt, Brandon K.
Funding

Funding for this research was provided by:

National Institutes of Health (DP5 OD-012132)

National Institutes of Health (T32 HL-072743)

National Center for Research Resources (US) and National Center for Advancing Translational Sciences (UL1TR00017)
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Text and Data Mining valid from 2015-01-01

Version of Record valid from 2015-11-04
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This article is maintained by: Elsevier

Article Title: 2D cine DENSE with low encoding frequencies accurately quantifies cardiac mechanics with improved image characteristics

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-015-0196-z

Content Type: article

Copyright: Copyright © 2015 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance