An Influence of the Noise on the Imaging Algorithm in the Electrical Impedance Tomography

Hui Zhang; Li Wang; Yongjun Zhou; Peijie Zhang; Jixia Wu; Ying Li

doi:10.4236/ojbiphy.2013.34027

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OJBIPHY> Vol.3 No.4, October 2013

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An Influence of the Noise on the Imaging Algorithm in the Electrical Impedance Tomography

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DOI: 10.4236/ojbiphy.2013.34027 2,891 Downloads 4,693 Views Citations

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Hui Zhang, Li Wang, Yongjun Zhou, Peijie Zhang, Jixia Wu, Ying Li

Affiliation(s)

Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK.
Faculty of Physics and Electronic Engineering, Xianyang Normal University, Xianyang, China.
School of Highway, Chang’an University, Xi’an, China.

ABSTRACT

Electrical impedance tomography (EIT) reconstructs the internal impedance distribution of the body from electrical measurements on body surface. The algorithm research is one of the main problems of the EIT. This paper presents the MPSO-MNR Algorithm, which is formed by combining the Modified Particle Swarm Optimization (MPSO) with Modified Newton-Raphson algorithm (MNR), gives the reconstruction results of certain configurations and analyzes the influence of the noise on the MPSO-MNR algorithm in the EIT. The numerical results show that the MPSO-MNR algorithm can reconstruct the resistivity distribution within the certain iterations. With the moving of the target to the centre of 2-D solution domain and the increase of noise, the border of the reconstruction objects becomes vague, and the fitness value and the total error increase gradually.

KEYWORDS

MPSO-MNR Algorithm; Signal-To-Noise Ratio; Objective Function; EIT

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Zhang, H. , Wang, L. , Zhou, Y. , Zhang, P. , Wu, J. and Li, Y. (2013) An Influence of the Noise on the Imaging Algorithm in the Electrical Impedance Tomography. Open Journal of Biophysics, 3, 217-221. doi: 10.4236/ojbiphy.2013.34027.

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