Tumor growth model for atlas based registration of pathological brain MR images

Wafa Moualhi; Zagrouba Ezzeddine

doi:10.1117/12.2182372

14 February 2015 Tumor growth model for atlas based registration of pathological brain MR images

Wafa Moualhi, Zagrouba Ezzeddine

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94451L (2015) https://doi.org/10.1117/12.2182372
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

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.

Citation Download Citation

Wafa Moualhi and Zagrouba Ezzeddine "Tumor growth model for atlas based registration of pathological brain MR images", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94451L (14 February 2015); https://doi.org/10.1117/12.2182372

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