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      Electromagnetic Torso Scanning: A Review of Devices, Algorithms, and Systems

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          Abstract

          The past decade has witnessed a surge into research on disruptive technologies that either challenge or complement conventional thoracic diagnostic modalities. The non-ionizing, non-invasive, compact, and low power requirements of electromagnetic (EM) techniques make them among the top contenders with varieties of proposed scanning systems, which can be used to detect wide range of thoracic illnesses. Different configurations, antenna topologies and detection or imaging algorithms are utilized in these systems. Hence, to appreciate their progress and assess their potential, a critical review of EM thoracic scanning systems is presented. Considering the numerous thoracic diseases, such as fatty liver disease, lung cancer, respiratory and heart related complications, this paper will exclusively focus on torso scanning systems, tracing the early foundation of research that studied the possibility of using EM waves to detect thoracic diseases besides exploring recent progresses. The advantages and disadvantages of proposed systems and future possibilities are thoroughly discussed.

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          Most cited references101

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          Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative method.

          The distorted Born iterative method (DBIM) is used to solve two-dimensional inverse scattering problems, thereby providing another general method to solve the two-dimensional imaging problem when the Born and the Rytov approximations break down. Numerical simulations are performed using the DBIM and the method proposed previously by the authors (Int. J. Imaging Syst. Technol., vol.1, no.1, p.100-8, 1989) called the Born iterative method (BIM) for several cases in which the conditions for the first-order Born approximation are not satisfied. The results show that each method has its advantages; the DBIM shows faster convergence rate compared to the BIM, while the BIM is more robust to noise contamination compared to the DBIM.
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            Nonionizing electromagnetic wave effects in biological materials and systems

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              Microwave imaging via space-time beamforming for early detection of breast cancer

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                Author and article information

                Journal
                Biosensors (Basel)
                Biosensors (Basel)
                biosensors
                Biosensors
                MDPI
                2079-6374
                27 April 2021
                May 2021
                : 11
                : 5
                : 135
                Affiliations
                School of ITEE, The University of Queensland, Brisbane 4072, Australia; a.darvazehban@ 123456uq.edu.au (A.D.); azin.janani@ 123456uq.edu.au (A.S.J.); a.abbosh@ 123456uq.edu.au (A.M.A.)
                Author notes
                Author information
                https://orcid.org/0000-0001-8024-3472
                https://orcid.org/0000-0003-4147-5099
                Article
                biosensors-11-00135
                10.3390/bios11050135
                8146838
                33925401
                6e574564-733a-4b75-96e1-3aba54c38247
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 08 April 2021
                : 23 April 2021
                Categories
                Review

                torso scanning,antennas,processing algorithms,electromagnetic imaging

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