Akalin Acar Zeynep, Makeig Scott
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California-San Diego, La Jolla, CA, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3991-4. doi: 10.1109/IEMBS.2008.4650084.
This paper introduces a Neuroelectromagnetic Forward Modeling Toolbox running under MATLAB (The Mathworks, Inc.) for generating realistic head models from available data (MRI and/or electrode locations) and for solving the forward problem of electro-magnetic source imaging numerically. The toolbox includes tools for segmenting scalp, skull, cerebrospinal fluid (CSF) and brain tissues from T1-weighted magnetic resonance (MR) images. After extracting the segmented tissue volumes, mesh generation can be performed using deformable models. When MR images are not available, it is possible to warp a template head model to measured electrode locations to obtain a better-fitting realistic model. The Boundary Element Method (BEM) is used for the numerical solution of the forward problem. Toolbox functions can be called from either a graphic user interface or from the command line. Function help messages and a tutorial are included. The toolbox is freely available under the GNU Public License for noncommercial use and open source development.
本文介绍了一种在MATLAB(Mathworks公司)环境下运行的神经电磁正向建模工具箱,用于根据可用数据(磁共振成像和/或电极位置)生成逼真的头部模型,并数值求解电磁源成像的正向问题。该工具箱包括从T1加权磁共振(MR)图像中分割头皮、颅骨、脑脊液(CSF)和脑组织的工具。提取分割后的组织体积后,可使用可变形模型进行网格生成。当没有MR图像时,可以将模板头部模型扭曲到测量的电极位置,以获得更贴合实际的模型。边界元法(BEM)用于正向问题的数值求解。工具箱函数既可以从图形用户界面调用,也可以从命令行调用。其中包含函数帮助信息和教程。该工具箱在GNU公共许可证下可免费用于非商业用途和开源开发。