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Extraction et caractérisation de régions saines et pathologiques à partir de micro-tomographie RX du système vasculaire cérébral

Abstract : In this paper, we consider X-ray micro-tomography representing the brain vascular network. We define the local vascular territories as the regions obtained after a watershed algorithm applied on the distance map. The obtained graph is then regularized by a Markov random field approach. The optimization is performed using a graph cut algorithm. We show that the resulting segmentation exhibits three classes corresponding to normal tissue, tumour and an intermediate region.
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https://hal.inria.fr/inria-00625525
Contributor : Mikael Carlavan <>
Submitted on : Wednesday, September 21, 2011 - 6:00:21 PM
Last modification on : Friday, November 6, 2020 - 4:12:58 AM
Long-term archiving on: : Thursday, December 22, 2011 - 2:36:08 AM

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  • HAL Id : inria-00625525, version 1

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Xavier Descombes, Ahmed Gamal Eldin, Franck Plouraboué, Caroline Fonta, Raphaël Serduc, et al.. Extraction et caractérisation de régions saines et pathologiques à partir de micro-tomographie RX du système vasculaire cérébral. GRETSI, Sep 2011, Bordeaux, France. ⟨inria-00625525⟩

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