Titre :

Anticipation of Brain Shift in Deep Brain Stimulation Automatic Planning

Auteur(s) :

Hamzé, Noura [Auteur]
Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection [LSIIT]
Bilger, Alexandre [Auteur]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Université du Luxembourg = University of Luxembourg = Universität Luxemburg [uni.lu]
Duriez, Christian [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Cotin, Stéphane [Auteur]
Computational Anatomy and Simulation for Medicine [MIMESIS]
Essert, Caroline [Auteur]
Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection [LSIIT]

Titre de la manifestation scientifique :

IEEE Engineering in Medicine and Biology Society (EMBC’15)

Ville :

Milan

Pays :

Italie

Date de début de la manifestation scientifique :

2015-08-25

Éditeur :

IEEE

Date de publication :

2015

Mot(s)-clé(s) en anglais :

Deep Brain Stimulation
Neurosurgery
FEM
Surgical planning

Discipline(s) HAL :

Informatique [cs]
Informatique [cs]/Imagerie médicale
Informatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]

Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL