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
01/09/2015Pubmed ID
25571144DOI
10.1109/EMBC.2014.6944776Scopus ID
2-s2.0-84929472417 3 CitationsAbstract
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-SHAuthor
El-Sayed H. Ibrahim PhD Associate Professor in the Radiology department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AlgorithmsComputer Simulation
Coronary Artery Disease
Diastole
Humans
Image Enhancement
Magnetic Resonance Imaging, Cine
Myocardium
Phantoms, Imaging
Systole
