UNASSIGNED: We introduce CutFEM for EEG forward simulations to integrate the strengths of hexahedra and tetrahedra. It belongs to the family of unfitted finite element methods, decoupling mesh and geometry representation. Following a description of the method, we will employ CutFEM in both controlled spherical scenarios and the reconstruction of somatosensory-evoked potentials.
UNASSIGNED: CutFEM outperforms competing FEM approaches with regard to numerical accuracy, memory consumption, and computational speed while being able to mesh arbitrarily touching compartments.
UNASSIGNED: CutFEM balances numerical accuracy, computational efficiency, and a smooth approximation of complex geometries that has previously not been available in FEM-based EEG forward modeling.
■我们引入CutFEM进行EEG正向模拟,以整合六面体和四面体的优势。它属于非拟合有限元方法家族,解耦网格和几何表示。根据该方法的描述,我们将在受控球形场景和体感诱发电位重建中使用CutFEM。
■CutFEM在数值精度方面优于竞争的FEM方法,内存消耗,和计算速度,同时能够任意啮合触摸隔间。
■CutFEM平衡数值精度,计算效率,以及复杂几何形状的平滑近似,这在基于FEM的EEG正向建模中以前是不可用的。