Intelligent Optimization Algorithm Approach to Image Reconstruction in Electrical Impedance Tomography

  • Ho-Chan Kim
  • Chang-Jin Boo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)


In electrical impedance tomography (EIT), various image reconstruction algorithms have been used in order to compute the internal resistivity distribution of the unknown object with its electric potential data at the boundary. Mathematically the EIT image reconstruction algorithm is a nonlinear ill-posed inverse problem. This paper presents two intelligent optimization algorithm techniques such as genetic algorithm (GA) and simulated annealing (SA) for the solution of the static EIT inverse problem. We summarize the simulation results for the modified Newton-Raphson, GA, and SA algorithms.


Simulated Annealing Electrical Impedance Tomography Couette Flow Simulated Annealing Algorithm Resistivity Distribution 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ho-Chan Kim
    • 1
  • Chang-Jin Boo
    • 1
  1. 1.Dept. of Electrical Eng.Cheju National Univ.ChejuKorea

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