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Abstract #4779

Methodology for Non-Diseased Myocardium Part Segmentation of Delayed Enhancement 3D MRI by Using Watershed and Shape Priors

Dominika Kruk1, Arnaud Boucher1, Alain Lalande1,2, Alexandre Cochet1,2, and Tadeusz Sliwa1

1Le2i FRE2005, CNRS, University of Burgundy, Auxerre, France, 2Service de Spectroscopie-RMN, CHU de Dijon, Dijon, France

Previous approaches on left ventricle segmentation from DE-MRI have focused on the extraction of myocardium or just diseased region in short axis orientation. However these studies are not well suited for the segmentation of non-diseased myocardium region on DE-MRI. This paper presents a novel semi-automatic segmentation method of non-diseased myocardium region segmentation on diseased patient heart from DE-MRI based on watershed algorithm with shape priors application. To assess the results segmented images were compared with gold standard images performed by an experienced user. Novel solution for DE-MRI segmentation has been proposed, which brought promising results of measured parameters.

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