An Active Contour Model Based on Splines and Separating Forces to Detect the Left Ventricle in Scintigraphic Images

Najah Hraiech 1 Daniel Weinland 2 Kamel Hamrouni 3
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : In this paper we present a novel method for the segmentation of scintigraphic images in order to detect the two ventricles of the heart. The method is based on the active contour model using a region based approach and parametric representation of the contour. The novel aspect of the method is that we have integrated separating forces between the two ventricles in the active contour model. The method has been applied on several scintigraphic images and compared to "active contour without edges" model. The results are satisfactory.
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Najah Hraiech, Daniel Weinland, Kamel Hamrouni. An Active Contour Model Based on Splines and Separating Forces to Detect the Left Ventricle in Scintigraphic Images. 2nd International Conference on Machine Intelligence (ACIDCA-ICMI '05), Nov 2005, Tozeur, Tunisia. ⟨inria-00590193⟩

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