TITLE:
An Influence of the Noise on the Imaging Algorithm in the Electrical Impedance Tomography
AUTHORS:
Hui Zhang, Li Wang, Yongjun Zhou, Peijie Zhang, Jixia Wu, Ying Li
KEYWORDS:
MPSO-MNR Algorithm; Signal-To-Noise Ratio; Objective Function; EIT
JOURNAL NAME:
Open Journal of Biophysics,
Vol.3 No.4,
October
17,
2013
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.