We present an automatic method to segment brain tissues from volumetric MRI brain tumor
images. The method is based on non-rigid registration of an average atlas in combination …

We propose a new and clinically oriented approach to perform atlas-based segmentation of
brain tumor images. A mesh-free method is used to model tumor-induced soft tissue …

A method for brain atlas deformation in presence of large space-occupying tumors, based
on an a priori model of lesion growth that assumes radial expansion of the lesion from its …

Automated methods for image segmentation, image registration, clustering of images and
probabilistic atlas construction are of great interest in medical image analysis. In this work …

This paper presents an approach for joint segmentation and deformable registration of brain
scans of glioma patients to a normal atlas. The proposed method is based on the …

We present a generative approach for simultaneously registering a probabilistic atlas of a
healthy population to brain magnetic resonance (MR) scans showing glioma and …

Combining image segmentation based on statistical classification with a geometric prior has
been shown to significantly increase robustness and reproducibility. Using a probabilistic …

Atlas registration is a recognized paradigm for the automatic segmentation of normal MR
brain images. Unfortunately, atlas-based segmentation has been of limited use in presence …

Image-based modeling of tumor growth combines methods from cancer simulation and
medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas …

We present a 3D brain MRI segmentation method in which a high resolution label image
evolves under the influence of multiple constraints. The constraints are expressed in a …