Summary: 262 Current Medical Imaging Reviews, 2007, 3, 262-276
1573-4056/07 $50.00+.00 ©2007 Bentham Science Publishers Ltd.
Glioma Dynamics and Computational Models: A Review of Segmentation,
Registration, and In Silico Growth Algorithms and their Clinical
Elsa D. Angelini, Olivier Clatz, Emmanuel Mandonnet, Ender Konukoglu, Laurent Capelle and
GET, Ecole Nationale Supérieure des Télécommunications, CNRS UMR 5141, Paris, France, 2
Project - INRIA Sophia Antipolis, France, 3
Unité 678, Inserm/UPMC, 91 boulevard de l'Hôpital, 75634 Paris Cedex 13,
Department of Neurosurgery, Hôpital de la Salpêtrière, 47-83 Bd de l'hôpital, 75634 Cedex Paris Cedex 13,
Department of Neurosurgery, Hôpital Gui de Chauliac, CHU de Montpellier, 80 Avenue Augustin Fliche,
34295 Montpellier Cedex 5, France
Abstract: Tracking gliomas dynamics on MRI has became more and more important for therapeutic management.
Powerful computational tools have been recently developed in this context enabling in silico growth on a virtual brain that
can be matched with real 3D segmented evolution through registration between atlases and patient brain MRI data. In this