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262 Current Medical Imaging Reviews, 2007, 3, 262-276 1573-4056/07 $50.00+.00 2007 Bentham Science Publishers Ltd.
 

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
Applications
Elsa D. Angelini, Olivier Clatz, Emmanuel Mandonnet, Ender Konukoglu, Laurent Capelle and
Hugues Duffau*
1
GET, Ecole Nationale Supérieure des Télécommunications, CNRS UMR 5141, Paris, France, 2
Asclepios Research
Project - INRIA Sophia Antipolis, France, 3
Unité 678, Inserm/UPMC, 91 boulevard de l'Hôpital, 75634 Paris Cedex 13,
France, 4
Department of Neurosurgery, Hôpital de la Salpêtrière, 47-83 Bd de l'hôpital, 75634 Cedex Paris Cedex 13,
France, 5
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

  

Source: Angelini, Elsa -Département Traitement du Signal et des Images, Telecom ParisTech

 

Collections: Engineering; Biology and Medicine