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基于断层计算机扫描数据分割的五层逼真有限元头部模型

[Five-layer realistic finite element head models based on segmented computer tomography data].

作者信息

Zhang Jianwei, Wu Weijuan, Ying Xiaoyan, Yan Dandan

机构信息

College of Information Engineering, China Jiliang University, Hangzhou 310018, China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2011 Jun;28(3):587-91.

Abstract

This paper is focused on head modeling using the sophisticated realistic finite element method (FEM) with five-layer tissues based on segmented data. First, the location of every pixel of the FEM head model was fixed on according to the registration method based on the magnetic resonance imaging (MRI) and computer tomography (CT) images. Then the location information was rebuilt with the hexahedron pattern in the ANSYS FEM software. Finally, the forward problem numerical computation was performed on this FEM head model. The simulation results verified the rationality and reliability of the model applied on the electroencephalograph (EEG)/magnetoencephalograph (MEG) study. The hexahedron meshing realistic head model combined with the MRI scanner information has potential in the future research of EEG/MEG.

摘要

本文聚焦于基于分割数据,使用具有五层组织的精密逼真有限元方法(FEM)进行头部建模。首先,根据基于磁共振成像(MRI)和计算机断层扫描(CT)图像的配准方法,确定FEM头部模型每个像素的位置。然后,在ANSYS有限元软件中用六面体模式重建位置信息。最后,对该FEM头部模型进行正向问题数值计算。模拟结果验证了该模型应用于脑电图(EEG)/脑磁图(MEG)研究的合理性和可靠性。结合MRI扫描仪信息的六面体网格逼真头部模型在EEG/MEG未来研究中具有潜力。

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