ORBi: Vigneron Lara M. - Enhanced FEM-based Modeling of Brain Shift Deformation in Image-Guided Neurosurgery

Reference : Enhanced FEM-based Modeling of Brain Shift Deformation in Image-Guided Neurosurgery


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science Engineering, computing & technology : Materials science & engineering Engineering, computing & technology : Mechanical engineering
	To cite this reference:	http://hdl.handle.net/2268/5936

Title :	Enhanced FEM-based Modeling of Brain Shift Deformation in Image-Guided Neurosurgery
Language :	English
Author, co-author :	Vigneron, Lara M. [Université de Liège - ULg > Electrical Engineering and Computer Science Department > > >]
	Boman, Romain [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS-Mécanique numérique non linéaire >]
	Ponthot, Jean-Philippe [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 [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images > >]
Publication date :	1-Aug-2010
Journal title :	Journal of Computational & Applied Mathematics
Publisher :	Elsevier Science
Volume :	234
Pages :	2046-2053
Audience :	International
ISSN :	0377-0427
City :	Amsterdam
Country :	The Netherlands
Keywords :	[en] Nonrigid registration ; Intraoperative MR ; Brain shift ; FEM ; Biomechanical model
Abstract :	[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.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/5936
DOI :	10.1016/j.cam.2009.08.062

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