3-D electrical impedance tomography forward problem with finite element method

Electrical impedance tomography (EIT) is a newly developed technique by which impedance measurements from the surface of an object are reconstructed into impedance image. The two-dimensional (2-D) EIT problem is regarded as a simplified model. As 2-D model cannot physically represent the three-dimen...

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Bibliographic Details
Published inIEEE transactions on magnetics Vol. 41; no. 5; pp. 1832 - 1835
Main Authors Guizhi Xu, Guizhi Xu, Huanli Wu, Huanli Wu, Shuo Yang, Shuo Yang, Shuo Liu, Shuo Liu, Ying Li, Ying Li, Qingxin Yang, Qingxin Yang, Weili Yan, Weili Yan, Mingshi Wang, Mingshi Wang
Format Journal Article Conference Proceeding
LanguageEnglish
Published New York, NY IEEE 01.05.2005
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:Electrical impedance tomography (EIT) is a newly developed technique by which impedance measurements from the surface of an object are reconstructed into impedance image. The two-dimensional (2-D) EIT problem is regarded as a simplified model. As 2-D model cannot physically represent the three-dimensional (3-D) structure, the spatial information of the place where the impedance is changed by some diseases cannot be detected accurately. Therefore, 3-D EIT is necessary. In this paper, the finite element method (FEM) of 3-D EIT forward problem is presented. A sphere model is studied. The tetrahedron element is used in the meshing. Two types of sphere model, uniform model and multiplayer model are analyzed. The uniform sphere model, to which the analytical solution is applicable, is used to verify the developed FEM as well as examine the accuracy. The comparison between the numerical solution and the analytical solution shows the correctness of the developed FEM for EIT forward problem. The multiplayer model, four-layer model and three-layer model, is used to investigate the physical potential distribution inside the inhomogeneous sphere model. Reasonable potential distributions are obtained.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2005.846503