A Quasi-Static Boundary Element Approach With Fast Multipole Acceleration for High-Resolution Bioelectromagnetic Models.
A Quasi-Static Boundary Element Approach With Fast Multipole Acceleration for High-Resolution Bioelectromagnetic Models.
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DOI：
10.1109/tbme.2018.2813261
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发表时间：
2018-12
期刊：
影响因子：
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通讯作者：
Nummenmaa A
中科院分区：
文献类型：
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作者：
Makarov SN;Noetscher GM;Raij T;Nummenmaa A
我们开发了一个新的精确版本的边界元快速多极子方法TMS相关的问题。这种方法是基于表面电荷配方，并使用高效快速多极加速器沿着与相邻表面积分的分析计算。通过与经过验证的商业有限元软件ANSYS麦克斯韦18.2 2017在非结构化网格上运行并具有自适应网格细化的比较，证明了该方法的准确性。从人口头部储存库（瑞士IT'IS基金会）获得了五个逼真的高清晰度头部模型，并使用商业TMS线圈模型（MRi-B 91，MagVenture，丹麦）进行了增强。对于每个头部模型，使用我们的方法进行了模拟，并使用有限元软件ANSYS麦克斯韦18.2 2017进行了模拟。这些模拟已经相互比较，并在每种情况下建立了一个很好的协议。与此同时，我们的新方法比ANSYS FEM快约500倍，在标准服务器上完成约200秒，并自然提供亚毫米场分辨率，这是使用网格细化证明。我们的方法可以应用于大脑刺激和记录技术，如经颅磁刺激（TMS）和脑磁图（MEG）的建模，并有可能成为一个实时的高分辨率仿真工具。
We develop a new accurate version of the boundary element fast multipole method for TMS-related problems. This method is based on the surface-charge formulation and is using the highly efficient fast multipole accelerator along with analytical computations of neighbor surface integrals. The method accuracy is demonstrated by comparison with the proven commercial FEM software ANSYS Maxwell 18.2 2017 operating on unstructured grids and with adaptive mesh refinement. Five realistic high-definition head models from the Population Head Repository (IT’IS Foundation, Switzerland) have been acquired and augmented with a commercial TMS coil model (MRi-B91, MagVenture, Denmark). For each head model, simulations with our method and simulations with the FEM software ANSYS Maxwell 18.2 2017 have been performed. These simulations have been compared with each other and an excellent agreement was established in every case. At the same time, our new method runs approximately 500 times faster than the ANSYS FEM, finishes in about 200 sec on a standard server, and naturally provides a sub-millimeter field resolution, which is justified using mesh refinement. Our method can be applied to modeling of brain stimulation and recording technologies such as transcranial magnetic stimulation (TMS) and magnetoencephalography (MEG), and has the potential to become a real-time high-resolution simulation tool.