Meeting Banner
Abstract #3949

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

1 Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, United States, 2 Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, United Kingdom, 3 Molecular Biomedical Imaging Laboratory, National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, United States

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here