Particle Swarm Optimization Technique For Elliptic Region Boundary Estimation In Electrical Impedance Tomography

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 loca...

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Bibliographic Details
Main Authors: Ijaz, Umer Zeeshan, Khambampati, Anil Kumar, Kim, Min Chan, Kim, Sin, Lee, Jeong Seong, Kim, Kyung Youn
Format: Conference Proceeding
Language:English
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Summary: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.
ISSN:0094-243X
DOI:10.1063/1.2747529