A reconstruction method for electrical impedance tomography using particle swarm optimization

  • Authors:

  • Min-You Chen;Gang Hu;Wei He;Yan-Li Yang;Jin-Qian Zhai

  • Affiliations:

  • State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China

  • Venue:
  • LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
  • Year:
  • 2010

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Abstract

The inverse problem of Electrical Impedance Tomography (EIT), especially for open EIT which involves less measurement, is a non-linear ill-posed problem. In this paper, a novel method based on Particle Swarm Optimization (PSO) is proposed to solve the open EIT inverse problem. This method combines a modified Newton-Raphson algorithm, a conductivity-based clustering algorithm, with an adaptive PSO algorithm to enhance optimal search capability and improve the quality of the reconstructed image. The results of numerical simulations show that the proposed method has a faster convergence to optimal solution and higher spatial resolution on a reconstructed image than a Newton-Raphson type algorithm.