Reference : Enhanced FEM-based Modeling of Brain Shift Deformation in Image-Guided Neurosurgery
Scientific journals : Article
Engineering, computing & technology : Computer science
Engineering, computing & technology : Materials science & engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/5936
Enhanced FEM-based Modeling of Brain Shift Deformation in Image-Guided Neurosurgery
English
Vigneron, Lara M. [Université de Liège - ULg > Electrical Engineering and Computer Science Department > > >]
Boman, Romain mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS-Mécanique numérique non linéaire >]
Ponthot, Jean-Philippe mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS-Mécanique numérique non linéaire >]
Robe, Pierre [Centre Hospitalier Universitaire de Liège - CHU > > Neurochirurgie >]
Warfield, Simon K. [ > > ]
Verly, Jacques mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images > >]
1-Aug-2010
Journal of Computational & Applied Mathematics
Elsevier Science
234
2046-2053
Yes (verified by ORBi)
International
0377-0427
Amsterdam
The Netherlands
[en] Nonrigid registration ; Intraoperative MR ; Brain shift ; FEM ; Biomechanical model
[en] We consider the problem of improving outcomes for neurosurgery patients by enhancing
intraoperative navigation and guidance. Current navigation systems do not accurately
account for intraoperative brain deformation. We focus on the brain shift deformation that occurs just after the opening of the skull and dura. The heart of our system is a nonrigid registration technique using a biomechanical model. We specifically work on two axes: the representation of the structures in the biomechanical model and the evaluation of the surface landmark displacement fields between intraoperative MR images. Using the modified Hausdorff distance as an image similarity measure, we demonstrate that our approach significantly improves the alignment of the intraoperative images.
' 2009 Elsevier B.V. All rights reserved.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/5936
10.1016/j.cam.2009.08.062

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