- Poster presentation
- Open Access
Displacement- versus velocity-encoding: tracking regional myocardial motion using MR imaging
© Lin et al. 2016
- Published: 27 January 2016
- Left Ventricle
- Principal Strain
- Circumferential Strain
- Radial Strain
- Circumferential Velocity
Magnetic resonance (MR) imaging has become an important diagnostic tool for the detection of impaired myocardial motion, which has been considered as a common consequence of most ischemic or non-ischemic heart diseases. Both cine DENSE and TPM have been independently adopted to delineate abnormal regional myocardial motion patterns for the estimation of the progression of cardiovascular diseases or for the evaluation of individual cardiovascular responses to treatments. However, although the similarities and differences between cine DENSE and TPM are well understood from a technical point of view, the interchangeability of those two imaging techniques in cardiovascular risk stratification is still not fully understood. The aim of the present study was to test the hypothesis that clinical metrics derived from cine DENSE and TPM are correlated for characterizing regional myocardial motion.
This study complied with HIPAA regulations. Thirteen healthy volunteers and 4 asymptomatic recipients of heart transplant (HTx) were recruited following the approval of the institutional review board (IRB). For each participant, two-dimensional (2D) cine DENSE and TPM were performed at basal, midventricular and apical locations at the left ventricle (LV) with the short-axis view. DENSE-derived myocardial metrics, including peak radial strain (Err), circumferential strain (Ecc), first principal strain (E1), second principal strain (E2) and twist were measured and correlated with TPM-derived indices, including peak radial velocity (Vr), circumferential velocity (VΦ) and time to peak (TTP) in systole and diastole using Pearson correlation coefficient (r).
DENSE and TPM can provide correlated clinical metrics for quantitatively characterizing regional myocardial motion from different technical aspects.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.