Modeling of tumor growth has been performed according to various approaches addressing
different biocomplexity levels and spatiotemporal scales. Mathematical treatments range …

Although a variety of diffeomorphic deformable registration methods exist in the literature,
application of these methods in the presence of space-occupying lesions is not …

We present a framework for modeling gliomas growth and their mechanical impact on the
surrounding brain tissue (the so-called, mass-effect). We employ an Eulerian continuum …

The finite element method is applied to the biomechanics of brain tissue deformation.
Emphasis is given to the deformations induced by the growth of tumors, and to the …

The objective of our research is to create a system computing brain deformations. We have
in view both clinical and training applications, such as" brain shift" calculation, prognosis …

This paper addresses the problem of creating probabilistic brain atlases from manually
labeled training data. Probabilistic atlases are typically constructed by counting the relative …

Motivated by the need for methods to aid the deformable registration of brain tumor images,
we present a three-dimensional (3D) mechanical model for simulating large non-linear …

Brain atlases contain a wealth of information that could be used for radiation therapy or
neurosurgical planning. So far, however, when large space occupying tumors and lesions …

In this paper, we propose a new method for simultaneously segmenting brain scans of
glioma patients and registering these scans to a normal atlas. Performing joint segmentation …

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