Techniques on mesh generation for the brain shift simulation

Claudio Lobos (1) , Marek Bucki (1) , Yohan Payan (2) , Nancy Hitschfeld (3)

1 TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
2 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur
3 DCC - Departamento de Ciencias de la Computación

Neurosurgery interventions involve complex tracking systems because a tissue deformation takesplace. The neuronavigation system relies only on preoperative images. In order to overcome the soft tissue deformations and guarantee the accuracy of the navigation a biomechanical model can be used during surgery to simulate the deformation of the brain. Therefore, a mesh generation for an optimal real-time Finite Element Model (FEM) becomes crucial. In this work we present different alternatives from a meshgeneration point of view that were evaluated to optimize the process in terms of elements quantity and quality as well as constraints of a intraoperative application and patient specific data.

Mots clés: Mesh Generation; Brain Shift; Finite Elements; Neurosurgery; Biomechanical model; computer aided surgery

Domaines: Biomécanique [physics.med-ph]; Biomécanique [physics.med-ph]; Imagerie; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Claudio Lobos, Marek Bucki, Yohan Payan, Nancy Hitschfeld. Techniques on mesh generation for the brain shift simulation. IV Latin American Congress on Biomedical Engineering, CLAIB2007, 2007, Venezuela. pp.642-645. ⟨hal-00176086⟩