Brain tumor vascular network segmentation from micro-tomography

Author

Descombes, Xavier ; Plouraboué, Franck ; El Boustani, Abdelhakim ; Fonta, Caroline ; LeDuc, Géraldine ; Serduc, Raphael ; Weitkamp, Timm

Author_Institution

I3S, INRIA, Sophia Antipolis, France

fYear

2011

fDate

March 30 2011-April 2 2011

Firstpage

1113

Lastpage

1116

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.

Keywords

blood vessels; brain; computerised tomography; image segmentation; medical image processing; tumours; biological structure; brain tumor; conditional random field; microtomography; microvessel 3D structure; vascular network segmentation; Image resolution; Image segmentation; Maximum likelihood estimation; Pathology; Shape; Three dimensional displays; Tumors; Segmentation; brain tumor; conditional random field; micro-tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on

Conference_Location

Chicago, IL

ISSN

1945-7928

Print_ISBN

978-1-4244-4127-3

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2011.5872596

Filename

5872596