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Proceedings Paper

Model-based boundary detection in echocardiography using dynamic programming technique
Author(s): LiXin Dong; Gabriel Pelle; Philip Brun; Michael A. Unser
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Paper Abstract

An automatic approach is proposed in this paper for the detection of left ventricular cavity boundaries from two dimensional echocardiograms. This object-oriented detection approach extracts the contour in exploring the information at different levels: local intensity information and geometrical features of the contour. A contour residual energy model is set up for this purpose and the geometrical features of the left ventricular cavity are introduced into contour detection through this model. The minimization of the contour residual energy can identify the cavity contours in very noisy environment.

Paper Details

Date Published: 1 June 1991
PDF: 10 pages
Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45215
Show Author Affiliations
LiXin Dong, Hopital Henri Mondor/INSERM (France)
Gabriel Pelle, Hopital Henri Mondor/INSERM (France)
Philip Brun, Hopital Henri Mondor/INSERM (France)
Michael A. Unser, Hopital Henri Mondor/INSERM (France)

Published in SPIE Proceedings Vol. 1445:
Medical Imaging V: Image Processing
Murray H. Loew, Editor(s)

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