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Metasurface-Enhanced Antennas for Microwave Brain Imaging

Stroke is a very frequent disorder and one of the major leading causes of death and disability worldwide. Timely detection of stroke is essential in order to select and perform the correct treatment strategy. Thus, the use of an efficient imaging method for an early diagnosis of this syndrome could...

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Autores principales: Razzicchia, Eleonora, Lu, Pan, Guo, Wei, Karadima, Olympia, Sotiriou, Ioannis, Ghavami, Navid, Kallos, Efthymios, Palikaras, George, Kosmas, Panagiotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000944/
https://www.ncbi.nlm.nih.gov/pubmed/33802316
http://dx.doi.org/10.3390/diagnostics11030424
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author Razzicchia, Eleonora
Lu, Pan
Guo, Wei
Karadima, Olympia
Sotiriou, Ioannis
Ghavami, Navid
Kallos, Efthymios
Palikaras, George
Kosmas, Panagiotis
author_facet Razzicchia, Eleonora
Lu, Pan
Guo, Wei
Karadima, Olympia
Sotiriou, Ioannis
Ghavami, Navid
Kallos, Efthymios
Palikaras, George
Kosmas, Panagiotis
author_sort Razzicchia, Eleonora
collection PubMed
description Stroke is a very frequent disorder and one of the major leading causes of death and disability worldwide. Timely detection of stroke is essential in order to select and perform the correct treatment strategy. Thus, the use of an efficient imaging method for an early diagnosis of this syndrome could result in an increased survival’s rate. Nowadays, microwave imaging (MWI) for brain stroke detection and classification has attracted growing interest due to its non-invasive and non-ionising properties. In this paper, we present a feasibility study with the goal of enhancing MWI for stroke detection using metasurface (MTS) loaded antennas. In particular, three MTS-enhanced antennas integrated in different brain scanners are presented. For the first two antennas, which operate in a coupling medium, we show experimental measurements on an elliptical brain-mimicking gel phantom including cylindrical targets representing the bleeding in haemorrhagic stroke (h-stroke) and the not oxygenated tissue in ischaemic stroke (i-stroke). The reconstructed images and transmission and reflection parameter plots show that the MTS loadings improve the performance of our imaging prototype. Specifically, the signal transmitted across our head model is indeed increased by several dB‘s over the desired frequency range of 0.5–2.0 GHz, and an improvement in the quality of the reconstructed images is shown when the MTS is incorporated in the system. We also present a detailed simulation study on the performance of a new printed square monopole antenna (PSMA) operating in air, enhanced by a MTS superstrate loading. In particular, our previous developed brain scanner operating in an infinite lossy matching medium is compared to two tomographic systems operating in air: an 8-PSMA system and an 8-MTS-enhanced PSMA system. Our results show that our MTS superstrate enhances the antennas’ return loss by around 5 dB and increases the signal difference due to the presence of a blood-mimicking target up to 25 dB, which leads to more accurate reconstructions. In conclusion, MTS structures may be a significant hardware advancement towards the development of functional and ergonomic MWI scanners for stroke detection.
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spelling pubmed-80009442021-03-28 Metasurface-Enhanced Antennas for Microwave Brain Imaging Razzicchia, Eleonora Lu, Pan Guo, Wei Karadima, Olympia Sotiriou, Ioannis Ghavami, Navid Kallos, Efthymios Palikaras, George Kosmas, Panagiotis Diagnostics (Basel) Article Stroke is a very frequent disorder and one of the major leading causes of death and disability worldwide. Timely detection of stroke is essential in order to select and perform the correct treatment strategy. Thus, the use of an efficient imaging method for an early diagnosis of this syndrome could result in an increased survival’s rate. Nowadays, microwave imaging (MWI) for brain stroke detection and classification has attracted growing interest due to its non-invasive and non-ionising properties. In this paper, we present a feasibility study with the goal of enhancing MWI for stroke detection using metasurface (MTS) loaded antennas. In particular, three MTS-enhanced antennas integrated in different brain scanners are presented. For the first two antennas, which operate in a coupling medium, we show experimental measurements on an elliptical brain-mimicking gel phantom including cylindrical targets representing the bleeding in haemorrhagic stroke (h-stroke) and the not oxygenated tissue in ischaemic stroke (i-stroke). The reconstructed images and transmission and reflection parameter plots show that the MTS loadings improve the performance of our imaging prototype. Specifically, the signal transmitted across our head model is indeed increased by several dB‘s over the desired frequency range of 0.5–2.0 GHz, and an improvement in the quality of the reconstructed images is shown when the MTS is incorporated in the system. We also present a detailed simulation study on the performance of a new printed square monopole antenna (PSMA) operating in air, enhanced by a MTS superstrate loading. In particular, our previous developed brain scanner operating in an infinite lossy matching medium is compared to two tomographic systems operating in air: an 8-PSMA system and an 8-MTS-enhanced PSMA system. Our results show that our MTS superstrate enhances the antennas’ return loss by around 5 dB and increases the signal difference due to the presence of a blood-mimicking target up to 25 dB, which leads to more accurate reconstructions. In conclusion, MTS structures may be a significant hardware advancement towards the development of functional and ergonomic MWI scanners for stroke detection. MDPI 2021-03-03 /pmc/articles/PMC8000944/ /pubmed/33802316 http://dx.doi.org/10.3390/diagnostics11030424 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Razzicchia, Eleonora
Lu, Pan
Guo, Wei
Karadima, Olympia
Sotiriou, Ioannis
Ghavami, Navid
Kallos, Efthymios
Palikaras, George
Kosmas, Panagiotis
Metasurface-Enhanced Antennas for Microwave Brain Imaging
title Metasurface-Enhanced Antennas for Microwave Brain Imaging
title_full Metasurface-Enhanced Antennas for Microwave Brain Imaging
title_fullStr Metasurface-Enhanced Antennas for Microwave Brain Imaging
title_full_unstemmed Metasurface-Enhanced Antennas for Microwave Brain Imaging
title_short Metasurface-Enhanced Antennas for Microwave Brain Imaging
title_sort metasurface-enhanced antennas for microwave brain imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000944/
https://www.ncbi.nlm.nih.gov/pubmed/33802316
http://dx.doi.org/10.3390/diagnostics11030424
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