Faculty Collaboration Database

Automatic synthesis of cine viability MRI images for evaluation of coronary heart disease. Annu Int Conf IEEE Eng Med Biol Soc 2014;2014:5117-20

Date

01/09/2015

Pubmed ID

25571144

DOI

10.1109/EMBC.2014.6944776

Scopus ID

2-s2.0-84929472417 (requires institutional sign-in at Scopus site)   5 Citations

Abstract

Coronary heart disease (CHD) is the leading cause of death worldwide. Cardiac magnetic resonance imaging (MRI) is a valuable imaging modality, as it can noninvasively provide information about myocardial function, viability, and morphology. Viability delayed-enhancement (DE) images are acquired at a single timeframe while myocardial functional (tagged) images are acquired as a cine loop of timeframes throughout the cardiac cycle. In this work, we propose a method for estimating DE images at all timeframes in the cardiac cycle without additional scan time to show both viability and functional information in the same image. The method is based on generating a dense motion field of the heart from the acquired tagged images, and then applying the extracted field to the acquired DE image. The developed technique is accurate in generating cine DE images and providing simultaneous information about myocardial viability and wall motion for comprehensive patient evaluation and optimal treatment selection.

Author List

Hassanein AS, Khalifa AM, Al-Atabany W, El-Wakad MT, Shapiro B, Ibrahim el-SH

MESH terms used to index this publication - Major topics in bold

Algorithms
Computer Simulation
Coronary Artery Disease
Diastole
Humans
Image Enhancement
Magnetic Resonance Imaging, Cine
Myocardium
Phantoms, Imaging
Systole