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      Three-Dimensional Electromagnetic Torso Scanner

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          Abstract

          A three-dimensional (3D) electromagnetic torso scanner system is presented. This system aims at providing a complimentary/auxiliary imaging modality to supplement conventional imaging devices, e.g., ultrasound, computerized tomography (CT) and magnetic resonance imaging (MRI), for pathologies in the chest and upper abdomen such as pulmonary abscess, fatty liver disease and renal cancer. The system is comprised of an array of 14 resonance-based reflector (RBR) antennas that operate from 0.83 to 1.9 GHz and are located on a movable flange. The system is able to scan different regions of the chest and upper abdomen by mechanically moving the antenna array to different positions along the long axis of the thorax with an accuracy of about 1 mm at each step. To verify the capability of the system, a three-dimensional imaging algorithm is proposed. This algorithm utilizes a fast frequency-based microwave imaging method in conjunction with a slice interpolation technique to generate three-dimensional images. To validate the system, pulmonary abscess was simulated within an artificial torso phantom. This was achieved by injecting an arbitrary amount of fluid (e.g., 30 mL of water), into the lungs regions of the torso phantom. The system could reliably and reproducibly determine the location and volume of the embedded target.

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          Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions.

          The physical basis for breast tumor detection with microwave imaging is the contrast in dielectric properties of normal and malignant breast tissues. Confocal microwave imaging involves illuminating the breast with an ultra-wideband pulse from a number of antenna locations, then synthetically focusing reflections from the breast. The detection of malignant tumors is achieved by the coherent addition of returns from these strongly scattering objects. In this paper, we demonstrate the feasibility of detecting and localizing small (<1 cm) tumors in three dimensions with numerical models of two system configurations involving synthetic cylindrical and planar antenna arrays. Image formation algorithms are developed to enhance tumor responses and reduce early- and late-time clutter. The early-time clutter consists of the incident pulse and reflections from the skin, while the late-time clutter is primarily due to the heterogeneity of breast tissue. Successful detection of 6-mm-diameter spherical tumors is achieved with both planar and cylindrical systems, and similar performance measures are obtained. The influences of the synthetic array size and position relative to the tumor are also explored.
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            A clinical prototype for active microwave imaging of the breast

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              • Article: not found

              Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                27 February 2019
                March 2019
                : 19
                : 5
                : 1015
                Affiliations
                [1 ]School of Information Technology and Electrical Engineering, The University of Queensland; St. Lucia, Brisbane, Queensland 4072, Australia; a.zamani@ 123456uq.edu.au (A.Z.); ksb@ 123456itee.uq.edu.au (K.S.B.); a.abbosh@ 123456uq.edu.au (A.M.A.)
                [2 ]PA-Southside Clinical School, The University of Queensland; St. Lucia, Brisbane, Queensland 4072, Australia; g.macdonald@ 123456uq.edu.au
                [3 ]Translational Research Institute and Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Woolloongabba, Brisbane, Queensland 4102, Australia
                Author notes
                Author information
                https://orcid.org/0000-0002-3461-0371
                Article
                sensors-19-01015
                10.3390/s19051015
                6427315
                30818868
                b5fe0da4-9d63-4aa2-b6a1-e9d904bb1710
                © 2019 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 ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 January 2019
                : 21 February 2019
                Categories
                Article

                Biomedical engineering
                three-dimensional torso scanning,electromagnetic imaging,thoracic diseases

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