DocumentCode :
240994
Title :
Evaluation of cardiac left ventricular mass from Tagged Magnetic Resonance Imaging
Author :
Makram, Abram W. ; Khalifa, Ayman M. ; El-Wakad, Mohamed T. ; El-Rewaidy, Hossam ; Fahmy, Ahmed S. ; Ibrahim, El-Sayed H.
Author_Institution :
Biomed. Eng. Dept., Helwan Univ., Cairo, Egypt
fYear :
2014
fDate :
11-13 Dec. 2014
Firstpage :
67
Lastpage :
70
Abstract :
Tagged Magnetic Resonance Imaging (tMRI) is considered the gold standard for quantitative assessment of the cardiac regional function. However, quantification of the global function from tMRI is challenging due to the low contrast between myocardium and blood in these images, and hence, prevents the accurate segmentation of the myocardium. In this work, a method for enhancing the myocardium-to-blood contrast in tagged MR images is presented. First, the tag pattern in tMRI is removed by accurately suppressing the frequency components of the tag pattern to produce tagless images. Then, the image contrast is enhanced by estimating the local standard deviation and using it to suppress the blood signal intensity. The proposed method is applied on a dataset for 12 patients to calculate the global cardiac functional parameters. The results are then compared to those calculated from standard cine MRI image sequences of the same patients. The results show that the proposed method can be used to accurately estimate the left ventricular volume and mass.
Keywords :
biomedical MRI; cardiovascular system; identification technology; image matching; image segmentation; image sequences; medical image processing; patient diagnosis; MRI image sequence comparison; Tagged Magnetic Resonance Imaging; accurate left ventricular mass estimation; accurate left ventricular volume estimation; accurate myocardium segmentation; blood signal intensity suppression; cardiac left ventrivular mass evaluation; global cardiac functional parameter calculation; image contrast enhancement; image segmentation; local standard deviation estimation; low myocardium-blood contrast; myocardium-to-blood contrast enhancement; pataient dataset; pateint MRI image sequences; quantitative assessment gold standard; quantitative cardiac regional function assessment; standard cine MRI image sequences; tMRI global function quantification; tMRI tag pattern removal; tag pattern frequency component suppression; tagged MR images; tagless image production; Biomedical imaging; Image segmentation; Magnetic resonance imaging; Myocardium; Principal component analysis; Global function estimation; Left Ventricular Segmentation; Tag removal; Tagged MRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Conference (CIBEC), 2014 Cairo International
Conference_Location :
Giza
ISSN :
2156-6097
Print_ISBN :
978-1-4799-4413-2
Type :
conf
DOI :
10.1109/CIBEC.2014.7020917
Filename :
7020917
Link To Document :
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