DocumentCode
3506130
Title
Multiview myocardial segmentation in echocardiographic images using a piecewise parametric shape prior
Author
Dietenbeck, T. ; Alessandrini, M. ; Barbosa, D. ; D´hooge, J. ; Friboulet, D. ; Bernard, O.
Author_Institution
INSA-LYON, Univ. de Lyon, Lyon, France
fYear
2011
fDate
March 30 2011-April 2 2011
Firstpage
645
Lastpage
648
Abstract
The segmentation of the myocardium in echocardiographic images is an important task for the diagnosis of heart diseases. This step is made difficult due to the inherent problems of echographic images (e.g. low contrast, speckle noise). In this article, we propose a method to segment the whole myocardium (endocardium and epicardium) from 2D echographic scans. This is achieved using a level-set model constrained by a new shape formulation that allows to model both contours. The novelty of this work also lays in the fact that our framework allows to segment the myocardium in any view. The method is evaluated on a set of clinical images. The obtained results are compared to expert segmentations and to the results provided by the recent approach described.
Keywords
echocardiography; image segmentation; medical image processing; 2D echographic scans; echocardiographic images; echographic image problems; endocardium contour model; epicardium contour model; heart disease diagnosis; level set model; multiview myocardial segmentation; myocardium; piecewise parametric shape prior; shape formulation; Active contours; Heart; High definition video; Image segmentation; Manuals; Myocardium; Shape; Segmentation; active contour; echocardiography; level-set; shape prior;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1945-7928
Print_ISBN
978-1-4244-4127-3
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2011.5872489
Filename
5872489
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