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Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications

School of Biomedical Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
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Algorithms 2019, 12(5), 88; https://doi.org/10.3390/a12050088
Received: 13 February 2019 / Revised: 22 April 2019 / Accepted: 23 April 2019 / Published: 26 April 2019
(This article belongs to the Special Issue Evolutionary Algorithms in Health Technologies)
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PDF [261 KB, uploaded 26 April 2019]

Abstract

Electrical impedance tomography (EIT) has been a hot topic among researchers for the last 30 years. It is a new imaging method and has evolved over the last few decades. By injecting a small amount of current, the electrical properties of tissues are determined and measurements of the resulting voltages are taken. By using a reconstructing algorithm these voltages then transformed into a tomographic image. EIT contains no identified threats and as compared to magnetic resonance imaging (MRI) and computed tomography (CT) scans (imaging techniques), it is cheaper in cost as well. In this paper, a comprehensive review of efforts and advancements undertaken and achieved in recent work to improve this technology and the role of artificial intelligence to solve this non-linear, ill-posed problem are presented. In addition, a review of EIT clinical based applications has also been presented. View Full-Text
Keywords: electrical impedance tomography; artificial intelligence methods; health care; imaging technique electrical impedance tomography; artificial intelligence methods; health care; imaging technique
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Khan, T.A.; Ling, S.H. Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications. Algorithms 2019, 12, 88.

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