Cahiers du CEREMADE

Unité Mixte de Recherche du C.N.R.S. N°7534
 
Abstract : We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two known curves (the constraining curves), given by an expert. The aim of our method is to nd the wanted surface by exploiting as much as possible the information given in the supplied curves and in the image. As for active surfaces, we use a cost potential which penalizes image regions of low interest (most likely areas of low gradient or too far from the surface to be extracted). In order to avoid local minima, we introduce a new partial differential equation and use its solution for segmentation. We show that the zero level set of this solution contains the constraining curves as well as a set of paths joining them. We present a fast implementation which has been successfully applied to 3D medical and synthetic images.
 
 
A NEWIMPLICIT METHOD FOR SURFACE SEGMENTATION BY MINIMAL PATHS IN 3D IMAGES
ARDON Roberto, COHEN Laurent, YEZZI Anthony
2006-43
13-09-2006
 
Université de PARIS - DAUPHINE
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