A Numerical Computation Forward Problem Model of Electrical Impedance Tomography Based on Generalized Finite Element Method

作者：Zhang, Xueying^*; Xu, Guizhi; Zhang, Shuai; Li, Yongjian; Guo, Youguang; Li, Ying; Wang, Youhua; Yan, Weili

来源：IEEE Transactions on Magnetics, 2014, 50(2): 7025904.

DOI：10.1109/TMAG.2013.2285161

• Bioimpedance
• biomedical computing
• computational electromagnetics
• conventional finite element method
• generalized finite element method

Electrical impedance tomography (EIT) is a low-cost non-invasive imaging modality. It has the potential to be of great value in clinical diagnosis. One of the major problems in EIT with complex geometry shape is its high demand in computation capability, power, and memory. A generalized finite element method (GFEM) is proposed to calculate the forward problem accurately. Compared with the traditional FEM, a smaller number of nodes and elements with the proposed method are required to achieve the same accuracy in our numerical computation model. The value of signal-to-noise ratio for two-order GFEM is 47 dB, and 10 dB for conventional FEM. The results demonstrate the efficiency of the GFEM in EIT simulation. In the forward solution, it is capable of achieving better accuracy using less computational time and memory with GFEM.

• 出版日期2014-2
• 单位河北工业大学