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

Author

Xueying Zhang ; Guizhi Xu ; Shuai Zhang ; Yongjian Li ; Youguang Guo ; Ying Li ; Youhua Wang ; Weili Yan

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

Volume

50

Issue

2

fYear

2014

fDate

Feb. 2014

Firstpage

1045

Lastpage

1048

Abstract

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.

Keywords

biomedical imaging; electric impedance imaging; finite element analysis; EIT; FEM; clinical diagnosis; complex geometry shape; computation capability; electrical impedance tomography; generalized finite element method; low-cost noninvasive imaging modality; memory; numerical computation forward problem model; power; signal-to-noise ratio; Accuracy; Computational modeling; Electrodes; Finite element analysis; Impedance; Numerical models; Tomography; Bioimpedance; biomedical computing; computational electromagnetics; conventional finite element method; generalized finite element method;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2013.2285161

Filename

6749240