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

PURPOSE: Brain tumor radiotherapy requires the volume measurements and the
localization of several individual brain structures. Any tool that can assist the physician to …

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 …

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 …

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 …

Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …

A deformable registration method is proposed for registering a normal brain atlas with
images of brain tumor patients. The registration is facilitated by first simulating the tumor …

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

Simulated deformations and images can act as the gold standard for evaluating various
template-based image segmentation and registration algorithms. Traditional deformable …