Anticipation of Brain Shift in Deep Brain Stimulation Automatic Planning

Noura Hamzé (1) , Alexandre Bilger (2, 3) , Christian Duriez (4) , Stéphane Cotin (5) , Caroline Essert (1)

1 LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection
2 Uni.lu - Université du Luxembourg
3 SHACRA - Simulation in Healthcare using Computer Research Advances
4 DEFROST - Deformable Robots Simulation Team
5 MIMESIS - Computational Anatomy and Simulation for Medicine

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.

Mots clés: Deep Brain Stimulation; Neurosurgery; FEM; Surgical planning

Domaines: Informatique [cs]; Imagerie médicale; Synthèse d'image et réalité virtuelle [cs.GR]

Noura Hamzé, Alexandre Bilger, Christian Duriez, Stéphane Cotin, Caroline Essert. Anticipation of Brain Shift in Deep Brain Stimulation Automatic Planning. IEEE Engineering in Medicine and Biology Society (EMBC’15), Aug 2015, Milan, Italy. pp.3635 - 3638 ⟨10.1109/EMBC.2015.7319180⟩. ⟨hal-01242851⟩