Multimodality Tissue Tracking Algorithm of Myocardial Strain: Initial Validation with Tagged MRI
Fabio S Raman 1 , Michael Tee 1,2 , Davis Vigneault 1,2 , Songtao Liu 1 , and David A Bluemke 1,3
Radiology and Imaging Sciences, National
Institutes of Health Clinical Center, Bethesda, MD,
of Engineering Science, Institute of Biomedical
Engineering, University of Oxford, Headington, Oxford,
Biomedical Imaging Laboratory, National Institute of
Biomedical Imaging and Bioengineering, Bethesda, MD,
Left ventricular strain is a potentially beneficial
biomarker for regional myocardial function,
necessitating methods for its quantification.
Traditional CMR tagging techniques used to obtain strain
information, including complementary spatial modulation
of magnetization (CSPAMM) and displacement encoding with
stimulated echoes (DENSE), require dedicated acquisition
sequences with low signal to noise ratio and lengthy
post-processing times. In this study, we present a novel
Multimodality Tissue Tracking (MTT) algorithm that
allows for rapid evaluation of MR cine images. The
purpose of this study was to validate the MTT software
in the assessment of regional myocardial function in a
pool of heart failure and healthy volunteers.
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