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Quantifying right ventricular motion and strain using 3D cine DENSE MRI

Authors
Journal
Journal of Cardiovascular Magnetic Resonance
1097-6647
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Volume
13
Identifiers
DOI: 10.1186/1532-429x-13-s1-m3
Keywords
  • Moderated Poster Presentation
Disciplines
  • Computer Science
  • Mathematics
  • Physics

Abstract

Quantifying right ventricular motion and strain using 3D cine DENSE MRI MODERATED POSTER PRESENTATION Open Access Quantifying right ventricular motion and strain using 3D cine DENSE MRI Daniel A Auger1*, Xiaodong Zhong2, Ernesta M Meintjes1, Frederick H Epstein3, Bruce S Spottiswoode1 From 2011 SCMR/Euro CMR Joint Scientific Sessions Nice, France. 3-6 February 2011 Objective The purpose of this study is to quantify right ventricular (RV) motion and surface strain in normal volunteers using 3D cine DENSE MRI. Background The RV is difficult to image because of its thin wall, asym- metric geometry and complex motion. DENSE is a quanti- tative MRI technique for measuring myocardial displacement and strain at high spatial and temporal reso- lutions [1,2]. DENSE encodes tissue displacement directly into the image phase, allowing for the direct extraction of motion data at a pixel resolution. A free-breathing naviga- tor-gated spiral 3D cine DENSE sequence was recently developed [3], providing an MRI technique which is well suited to quantifying RV mechanics. Methods Whole heart 3D cine DENSE data were acquired from two normal volunteers, after informed consent was obtained and in accordance with protocols approved by the University of Virginia institutional review board. The endocardial and epicardial contours were manually deli- neated to identify the myocardium from surrounding anatomical structures. A 3D spatiotemporal phase unwrapping algorithm was used to remove phase aliasing [4], and 3D Lagrangian displacement fields were derived for all cardiac phases. Midline contours were calculated from the epicardial and endocardial contours, and tissue tracking seed points were defined at pixel spaced inter- vals. A 3D tracking algorithm was implemented as a direct extension of the 2D tracking algorithm presented in [4], producing midline motion trajectories from which strain was calculated. Tangential 1D strain was calculated in the longitudinal and circumferential cardiac direction

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