Titre :

Intra-operative Registration for Deep Brain Stimulation Procedures based on a Full Physics Head Model

Auteur(s) :

Bilger, Alexandre [Auteur]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Bardinet, Eric [Auteur]
Plateforme de neuroimagerie CENIR = Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] [CENIR]
Fernández-Vidal, Sara [Auteur]
Plateforme de neuroimagerie CENIR = Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] [CENIR]
Duriez, Christian [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Jannin, Pierre [Auteur]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Cotin, Stéphane [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Simulation in Healthcare using Computer Research Advances [SHACRA]

Titre de la manifestation scientifique :

MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges - 2nd edition

Ville :

Boston

Pays :

Etats-Unis d'Amérique

Date de début de la manifestation scientifique :

2014-09-14

Date de publication :

2014-09-14

Discipline(s) HAL :

Informatique [cs]/Modélisation et simulation

Résumé en anglais : [en]

Brain deformation is a factor of inaccuracy during stereotactic neurosurgeries. If this phenomenon is not considered in the pre-operative planning or intra-operatively, it could lead to surgical complications, side effects ...
Lire la suite >Brain deformation is a factor of inaccuracy during stereotactic neurosurgeries. If this phenomenon is not considered in the pre-operative planning or intra-operatively, it could lead to surgical complications, side effects or ineffectiveness. In this paper, we present a patient-specific method to update the pre-operative planning based on a physical simulation of the brain shift. A minimization process estimates parameters of the simulation in order to compute the brain tissue deformation matching the partial data taken from intra-operative modalities. The simulation is based on a patient-specific biomechanical model of the brain and the cerebro-spinal fluid. We validate the method on a patient with a post-operative MRI.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