Sparsity Constrained Reconstruction for Electrical Impedance Tomography

Theertham, Ganesh Teja and Varanasi, Santhosh Kumar and Jampana, Phanindra (2020) Sparsity Constrained Reconstruction for Electrical Impedance Tomography. In: 21st IFAC World Congress 2020,, 12 July 2020 - 17 July 2020.

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Electrical Impedance Tomography (EIT) can be used to study the hydrodynamic characteristics in multi-phase flows such as gas holdup in bubble columns, air-core in hydrocyclone, etc. In EIT, the main objective is to estimate the electrical properties (conductivity distribution) of an object in a region of interest based on the surface voltage measurements. The main challenge in such reconstruction (estimation of conductivity distribution) is the low spatial resolution. In this paper, a sparse optimization approach for image reconstruction in EIT is presented. The main idea presented in this article is based on considering the L1 norm on the data term, which enhances the reconstruction of conductivity distributions with sharp changes near phase boundaries. Further, this method is also robust to outliers in the data. The accuracy of the proposed method is demonstrated with the help of two phantoms, and a comparison with the existing methods is also presented.

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IITH Creators:
IITH CreatorsORCiD
Theertham, Ganesh TejaUNSPECIFIED
Jampana, Phanindra Varma
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Electrical Impedance Tomography; Interior point method; Parameter estimation; Sparse optimization
Subjects: Chemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 26 Jun 2021 09:57
Last Modified: 26 Jun 2021 09:57
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