Electrical impedance tomography reconstruction algorithm using extended Kalman filter

Author

Kim, H.-C. ; Kim, K.Y. ; Park, J.W. ; Lee, H.J.

Author_Institution

Dept. of Electr. Eng., Cheju Nat. Univ., South Korea

Volume

3

fYear

2001

fDate

2001

Firstpage

1677

Abstract

In electrical impedance tomography (EIT), the internal resistivity distribution of the unknown object is estimated using the boundary voltage data induced by different current patterns using various reconstruction algorithms. This paper presents a reconstruction algorithm based modified extended Kalman filter technique that is able to track fast change in the impedance distribution. The computer simulation for the 32 channels synthetic data shows that the reconstruction performance of the proposed scheme is improved compared to that of the conventional Kalman filter algorithm at the expense of slightly increased computational burden

Keywords

Kalman filters; computerised tomography; electric impedance; filtering theory; image reconstruction; nonlinear filters; tracking filters; Kalman filter algorithm; boundary voltage data; computer simulation; current patterns; electrical impedance tomography reconstruction algorithm; impedance distribution; internal resistivity distribution; modified extended Kalman filter; reconstruction performance; synthetic data; Biomedical measurements; Current measurement; Electrodes; Geologic measurements; Image reconstruction; Impedance measurement; Laplace equations; Reconstruction algorithms; Tomography; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on

Conference_Location

Pusan

Print_ISBN

0-7803-7090-2

Type

conf

DOI

10.1109/ISIE.2001.931960

Filename

931960