Brain tumor vascular network segmentation from micro-tomography

Xavier Descombes 1, 2 Franck Plouraboue 3 Habdelhakim Boustani 3, 4 Caroline Fonta 5 Geraldine Leduc 6 Raphael Serduc 7 Timm Weitkamp 8
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
2 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
3 IMFT - Institut de mécanique des fluides de Toulouse
4 ENSAT - Ecole Nationale des Sciences Appliquées [Tanger]
5 CERCO - Centre de recherche cerveau et cognition
6 ESRF - European Synchrotron Radiation Facility
7 GIN - Grenoble Institut des Neurosciences
8 SSOLEIL - Synchrotron SOLEIL
Abstract : Micro-tomography produces high resolution images of biological structures such as vascular networks. In this paper, we present a new approach for segmenting vascular network into pathological and normal regions from considering their micro-vessel 3D structure only. We define and use a conditional random field for segmenting the output of a watershed algorithm. The tumoral and normal classes are thus characterized by their respective distribution of watershed region size interpreted as local vascular territories.
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Conference papers
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https://hal.inria.fr/hal-00793687
Contributor : Xavier Descombes <>
Submitted on : Friday, February 22, 2013 - 5:50:57 PM
Last modification on : Monday, November 4, 2019 - 5:52:05 PM

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Xavier Descombes, Franck Plouraboue, Habdelhakim Boustani, Caroline Fonta, Geraldine Leduc, et al.. Brain tumor vascular network segmentation from micro-tomography. ISBI - International Symposium on Biomedical Imaging, 2011, Chicago, United States. pp.1113 - 1116, ⟨10.1109/ISBI.2011.5872596⟩. ⟨hal-00793687⟩

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