DocumentCode :
140750
Title :
Automatic synthesis of cine viability MRI images for evaluation of coronary heart disease
Author :
Hassanein, Azza S. ; Khalifa, Ayman M. ; Al-Atabany, Walid ; El-Wakad, Mohamed T. ; Shapiro, Brian ; Ibrahim, El-Sayed H.
Author_Institution :
Helwan Univ., Cairo, Egypt
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5117
Lastpage :
5120
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.
Keywords :
biomedical MRI; cardiology; diseases; feature extraction; image enhancement; medical image processing; motion estimation; automatic cine viability synthesis; cardiac MRI image enhancement; coronary heart disease evaluation; dense motion field extraction; magnetic resonance imaging; myocardial morphology; myocardial viability; Computer vision; Heart; Magnetic resonance imaging; Myocardium; Strain; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944776
Filename :
6944776
Link To Document :
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