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.
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Chen, My., Hu, G., He, W., Yang, Yl., Zhai, Jq. (2010). A Reconstruction Method for Electrical Impedance Tomography Using Particle Swarm Optimization. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15597-0_38
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DOI: https://doi.org/10.1007/978-3-642-15597-0_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15596-3
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