Reference : Anticipation of brain shift in Deep Brain Stimulation automatic planning

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Systems Biomedicine
	To cite this reference:	http://hdl.handle.net/10993/26742

Title :	Anticipation of brain shift in Deep Brain Stimulation automatic planning
Language :	English
Author, co-author :	Bilger, Alexandre [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Cotin, Stephane [The Institut Hospitalo-Universitaire de Strasbourg]
	Duriez, Christian [INRIA]
	Essert, Caroline [The Institut Hospitalo-Universitaire de Strasbourg]
	Hamze, Noura [The Institut Hospitalo-Universitaire de Strasbourg]
Publication date :	2015
Journal title :	IEEE Engineering in Medicine and Biology Society
Special issue title :	Anticipation of brain shift in deep brain stimulation automatic planning
Pages :	3635 - 3638
Peer reviewed :	No
Audience :	International
Event name :	37th Annual International Conference of the IEEE
Event date :	2015
Event place (city) :	Milan
Event country :	Italy
Keywords :	[en] brain shift ; Stimulation ; Deep Brain ; automatic
Abstract :	[en] Deep Brain Stimulation is a neurosurgery procedure consisting in implanting an electrode in a deep structure of the brain. This intervention requires a preoperative planning phase, with a millimetric accuracy, in which surgeons decide the best placement of the electrode depending on a set of surgical rules. However, brain tissues may deform during the surgery because of the brain shift phenomenon, leading the electrode to mistake the target, or moreover to damage a vital anatomical structure. In this paper, we present a patient-specific automatic planning approach for DBS procedures which accounts for brain deformation. Our approach couples an optimization algorithm with FEM based brain shift simulation. The system was tested successfully on a patient-specific 3D model, and was compared to a planning without considering brain shift. The obtained results point out the importance of performing planning in dynamic conditions.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/26742
Other URL :	https://hal.inria.fr/hal-01242851/document

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