An Evidential Markov Random Fields Model For Cardiac MRI Segmentation - Swaileh, Wassim;Petitjean, Caroline;Nicolas, Stéphane
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The cardiac MRI segmentation problem, precisely the segmentation of the right and left ventricles is known for many years ago. Unlike the left ventricle, the right ventricle is difficult to be segmented cause of its not uniformed shape in addition to the fineness of the endocard (internal heart muscle). The segmentation of the cardiac MRI was achieved by the work of (BEN HAMADOU, 2007) by using an evidential model called credal filter (ZHANG, 2006), in our work; we have proposed the two evidential Markovian models basing on the credal filter. the proposed models have enhanced the segmentation…mehr

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Produktbeschreibung
The cardiac MRI segmentation problem, precisely the segmentation of the right and left ventricles is known for many years ago. Unlike the left ventricle, the right ventricle is difficult to be segmented cause of its not uniformed shape in addition to the fineness of the endocard (internal heart muscle). The segmentation of the cardiac MRI was achieved by the work of (BEN HAMADOU, 2007) by using an evidential model called credal filter (ZHANG, 2006), in our work; we have proposed the two evidential Markovian models basing on the credal filter. the proposed models have enhanced the segmentation results obtained by the credal filter by its reducing the smoothing effect of the credal filter. The proposed approaches have been tested and validated on a corpus of eighteen Cardiac MRI examinations for four patients.
Autorenporträt
Currently, I am a PHD student at LITIS laboratory EA4108, university of Rouen - France.The master degree was offered to me in 2008 for university of Rouen.I have some academic experiences from 5 years of work as a professor and lecturer for faculty of engineering at Sana'a university, Yemenia university and finally at Sana'a community college.