Particle swarm optimization technique For elliptic region boundary estimation in electrical impedance tomography

Ijaz, U. Z. , Khambampati, A. K., Kim, M. C., Kim, S., Lee, J. S. and Kim, K. Y. (2007) Particle swarm optimization technique For elliptic region boundary estimation in electrical impedance tomography. In: 5th International Symposium on Measurement Techniques for Multiphase Flows (5th ISMTMF), Macau, China, 10-13 Dec 2006, pp. 896-901. ISBN 9780735404229 (doi:10.1063/1.2747529)

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Abstract

In this study we consider the recovery of smooth elliptic region boundary in electrical impedance tomography (EIT). The assumption made is that the resistivity profile is known a priori but some of the geometric information is missing. This missing information may for example be shape, size and location. This leads to a nonlinear ill‐posed inverse problem. In this study we propose a population based parallel evolutionary computation technique, particle swarm optimization (PSO). We formulate the forward problem as mapping of a set of Fourier coefficients representing boundary shapes to the resistivity profile in the domain. Then PSO is used to iteratively seek the boundary configuration minimizing a cost functional. The final goal of this study is to recover the region boundary with only one measurement data (i.e., one current pattern) contaminated with measurement noise along with a very high contrast ratio. The simulation results are also provided to assess the merit of PSO technique.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ijaz, Dr Umer
Authors: Ijaz, U. Z., Khambampati, A. K., Kim, M. C., Kim, S., Lee, J. S., and Kim, K. Y.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
ISSN:0094-243X
ISBN:9780735404229

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