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Proceedings Paper

Tumor growth model for atlas based registration of pathological brain MR images
Author(s): Wafa Moualhi; Zagrouba Ezzeddine
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Paper Abstract

The motivation of this work is to register a tumor brain magnetic resonance (MR) image with a normal brain atlas. A normal brain atlas is deformed in order to take account of the presence of a large space occupying tumor. The method use a priori model of tumor growth assuming that the tumor grows in a radial way from a starting point. First, an affine transformation is used in order to bring the patient image and the brain atlas in a global correspondence. Second, the seeding of a synthetic tumor into the brain atlas provides a template for the lesion. Finally, the seeded atlas is deformed combining a method derived from optical flow principles and a model for tumor growth (MTG). Results show that an automatic segmentation method of brain structures in the presence of large deformation can be provided.

Paper Details

Date Published: 14 February 2015
PDF: 6 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94451L (14 February 2015); doi: 10.1117/12.2182372
Show Author Affiliations
Wafa Moualhi, Institut Supérieur d’Informatique (Tunisia)
Zagrouba Ezzeddine, Institut Supérieur d’Informatique (Tunisia)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

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