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MICCAI
2009
Springer

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

10 years 5 months ago
Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms
Patient-specific biomechanical models implemented using specialized nonlinear (i.e. taking into account material and geometric nonlinearities) finite element procedures were applied to predict the deformation field within the brain for five cases of craniotomy-induced brain shift. The procedures utilize the Total Lagrangian formulation with explicit time stepping. The loading was defined by prescribing deformations on the brain surface under the craniotomy. Application of the computed deformation fields to register the preoperative images with the intraoperative ones indicated that the models very accurately predict the intraoperative positions and deformations of the brain anatomical structures for limited information about the brain surface deformations. For each case, it took less than 40 s to compute the deformation field using a standard personal computer, and less than 4 s using a Graphics Processing Unit (GPU). The results suggest that nonlinear biomechanical models can be regar...
Grand Roman Joldes, Adam Wittek, Mathieu Couton,
Added 06 Nov 2009
Updated 13 Dec 2009
Type Conference
Year 2009
Where MICCAI
Authors Grand Roman Joldes, Adam Wittek, Mathieu Couton, Simon K. Warfield, Karol Miller
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