3-D anisotropic electrical impedance imaging

Author

Gong, Lian ; Zhang, Keqian ; Unbehauen, Rolf

Author_Institution

Dept. of Appl. & Theor. Electr. Eng., Erlangen-Nurnberg Univ., Germany

Volume

33

Issue

2

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

2120

Lastpage

2122

Abstract

A 3-D algorithm of anisotropic electrical impedance imaging is presented. The image reconstruction is based on the theory of the generalized incremental linear function with global sensitivity. The inverse calculation only deals with the conductivity-varying finite elements. The forward problem is solved by 3-D FEM and 1-D storage is utilized to save memory. The inverse of the stiffness matrix can also be stored in a one-dimensional way. A successful computer simulation shows that this algorithm can detect conductivity variations from 1% to 100% of the original conductivity with global sensitivity and the convergence is fast, so it is efficient and flexible

Keywords

bioelectric phenomena; biomedical imaging; digital simulation; electric impedance imaging; electrical conductivity measurement; finite element analysis; image reconstruction; matrix algebra; medical image processing; simulation; 1-D storage; 3-D FEM; 3-D anisotropic electrical impedance imaging; computer simulation; conductivity-varying finite elements; fast convergence; forward problem; generalized incremental linear function; global sensitivity; human body conductivity detection; image reconstruction; inverse calculation; stiffness matrix inverse; Anisotropic magnetoresistance; Boundary conditions; Computer simulation; Conductivity measurement; Current; Equations; Finite element methods; Humans; Image reconstruction; Surface impedance;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.582744

Filename

582744