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A Novel GUI-Based Image Reconstruction Algorithm of EIT Imaging Technique

A Novel GUI-Based Image Reconstruction Algorithm of EIT Imaging Technique

Ramesh Kumar, Shashank Tripathi
Copyright: © 2021 |Volume: 15 |Issue: 3 |Pages: 16
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781799859840|DOI: 10.4018/IJCINI.20210701.oa3
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MLA

Kumar, Ramesh, and Shashank Tripathi. "A Novel GUI-Based Image Reconstruction Algorithm of EIT Imaging Technique." IJCINI vol.15, no.3 2021: pp.31-46. http://doi.org/10.4018/IJCINI.20210701.oa3

APA

Kumar, R. & Tripathi, S. (2021). A Novel GUI-Based Image Reconstruction Algorithm of EIT Imaging Technique. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 15(3), 31-46. http://doi.org/10.4018/IJCINI.20210701.oa3

Chicago

Kumar, Ramesh, and Shashank Tripathi. "A Novel GUI-Based Image Reconstruction Algorithm of EIT Imaging Technique," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 15, no.3: 31-46. http://doi.org/10.4018/IJCINI.20210701.oa3

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Abstract

Electrical impedance tomography (EIT) is a non-invasive technique that is used to estimate the electrical properties of a medical or non-medical object through the boundary data of the object. It used to achieve functional imaging of different objects by measuring electrical conductivity and impedance parameters. In this paper, a novel image reconstruction algorithm is presented, which is based on graphical user interface (GUI) developed on MATLAB software platform. EIT imaging algorithm consists of a forward problem and an inverse problem. The forward problem is formulated with the conductance matrix, and a non-iterative inverse method is used to estimate the conductivity distribution. Image display and data analysis are implemented and controlled directly in the GUI. The numerical simulations and phantom experiments have been carried out to evaluate the performance of the proposed algorithm and other previous research data through quantitative parameters. The obtained result shows satisfactory and comparable results to other EIT imaging algorithm.