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Conference Papers Year : 2011

Brain Tumor Vascular Network Segmentation from Micro-Tomography

Abstract

Micro-tomography produces high resolution images of bio- logical 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 condi- tional random field for segmenting the output of a watershed algorithm. The tumoral and normal classes are thus character- ized by their respective distribution of watershed region size interpreted as local vascular territories.
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Dates and versions

hal-04041532 , version 1 (22-03-2023)

Identifiers

  • HAL Id : hal-04041532 , version 1
  • OATAO : 5015

Cite

Xavier Descombes, Franck Plouraboue, Abdelhakim El Boustani, Caroline Fonta, Géraldine Leduc, et al.. Brain Tumor Vascular Network Segmentation from Micro-Tomography. 2011 IEEE International Symposium on Biomedical Imaging, Mar 2011, Chicago, United States. pp.1113-1116. ⟨hal-04041532⟩
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