An Investigation On The Nonlinearity Of `Soft´ Field In Electrical Impedance Tomography System Based On Statistical Methods

Author

Wang, Huaxiang ; Cao, Zhang

Author_Institution

Sch. of Electr. & Autom. Eng., Tianjin Univ.

Volume

2

fYear

2005

fDate

16-19 May 2005

Firstpage

1392

Lastpage

1396

Abstract

In this paper, the nonlinearity in the electrical impedance tomography (EIT) system has been studied based on two statistical methods: the graph method and the uniform design method. The results show that the iterative reconstructing algorithms based on the sensitivity theorem (Geselowitz, 1971; Lehr, 1972) have their intrinsic limitations, as the coupling effect between different subareas could not be avoided. And as a result of the uniform design, a failure case has been obtained to validate the coupling effect based on biconjugate gradients method although limiting the number of iterations controls the artificial errors introduced by the assumption of linearity and the ill-conditioned sensitivity matrix

Keywords

conjugate gradient methods; electric impedance imaging; graph theory; iterative methods; statistical analysis; tomography; EIT system; artificial errors; biconjugate gradients method; coupling effect; electrical impedance tomography system; graph method; iterative reconstructing algorithms; sensitivity matrix; sensitivity theorem; soft field; statistical methods; uniform design method; Automation; Biomedical electrodes; Gradient methods; Image reconstruction; Impedance; Inverse problems; Iterative algorithms; Iterative methods; Statistical analysis; Tomography; BiConjugate gradients method; electrical impedance tomography; nonlinearity; statistical methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604378

Filename

1604378