Sparse optimization for image reconstruction in Electrical Impedance Tomography

Varanasi, Santhosh Kumar and Manchikatla, Chaitanya and Jampana, Phanindra Varma (2019) Sparse optimization for image reconstruction in Electrical Impedance Tomography. IFAC-PapersOnLine, 52 (1). pp. 34-39. ISSN 24058963

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Abstract

lectrical Impedance Tomography (EIT) can be used to obtain phase boundaries and gas holdups in multiphase flows. The main challenge in image reconstruction using EIT is the low spatial resolution. In this paper, a reconstruction algorithm using sparse optimization techniques is presented. For multiphase flows, gradients in the conductivity vector are sparse. Therefore, the reconstruction problem is formulated as identification of this sparse vector given the current-voltage measurements. A new iterative algorithm is proposed to estimate the conductivity values. The accuracy of the proposed method is demonstrated with the help of several examples and comparison with an existing technique.

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IITH Creators:	IITH Creators ORCiD Jampana, Phanindra Varma http://orcid.org/0000-0002-9678-5249
Item Type:	Article
Uncontrolled Keywords:	Electrical resistance/impedance tomography, Orthogonal matching pursuit, Parameter estimation, Sparse optimization
Subjects:	Chemical Engineering
Divisions:	Department of Chemical Engineering
Depositing User:	Team Library
Date Deposited:	26 Aug 2019 05:35
Last Modified:	26 Aug 2019 05:35
URI:	http://raiithold.iith.ac.in/id/eprint/6036
Publisher URL:	http://doi.org/10.1016/j.ifacol.2019.06.033
Related URLs:	Google Scholar

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