Electrical Impedance Tomography imaging using Gauss-Newton algorithm

Author

Islam, Md Rafiqul ; Kiber, Md Adnan

Author_Institution

Electron. & Commun. Eng., Univ. of Dhaka, Dhaka, Bangladesh

fYear

2014

fDate

23-24 May 2014

Firstpage

1

Lastpage

4

Abstract

Electrical Impedance Tomography (EIT) is a noninvasive tomographic imaging modality, where cross-sectional images of conductivity and/or permittivity distribution inside of a volume are reconstructed. Electrical Impedance and Diffused Optical Reconstruction Software (EIDORS) is used in this tomographic imaging. In this paper, simulation is carried out in two different conditions and using simulated data images of change of conductivity distribution within the volume are generated with Gauss-Newton (GN) algorithm in EIDORS. Priors like Laplace, Tikhonov, Gaussian High Pass Filter (HPF) and NOSER prior are used in reconstructing images. The percentage of error in reconstructing conductivity and 1D conductivity profile are also calculated. The difference images thus obtained are compared with respect to shape, size, and spatial location of the impurity, calculated error and 1D profile to evaluate performance of GN algorithm with different priors. The comparison is done in noise free and noisy (SNR 30dB) case.

Keywords

biomedical optical imaging; covariance matrices; electric impedance imaging; filtering theory; high-pass filters; image reconstruction; inverse problems; medical image processing; regression analysis; 1D conductivity profile; EIDORS; EIT; Gauss-Newton algorithm; Gaussian high pass filter; NOSER; conductivity distribution; cross-sectional image reconstruction; electrical impedance tomography imaging; electrical impedance-and-diffused optical reconstruction software; noninvasive tomographic imaging modality; permittivity distribution; Conductivity; Image reconstruction; Impedance; Impurities; Noise; Noise measurement; Tomography; EIT; Electrical Impedance Tomography; Prior; Reconstruction Algorithm; Regularization;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics, Electronics & Vision (ICIEV), 2014 International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4799-5179-6

Type

conf

DOI

10.1109/ICIEV.2014.6850719

Filename

6850719