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Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging

The use of solid cavities around electromagnetic sources has been recently reported as a mechanism to provide enhanced images at microwave frequencies. These cavities are used as measurement randomizers; and they compress the wave fields at the physical layer. As a result of this compression, the am...

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Autores principales: Ghanbarzadeh-Dagheyan, Ashkan, Liu, Chang, Molaei, Ali, Heredia, Juan, Martinez Lorenzo, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021799/
https://www.ncbi.nlm.nih.gov/pubmed/29882859
http://dx.doi.org/10.3390/s18061674
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author Ghanbarzadeh-Dagheyan, Ashkan
Liu, Chang
Molaei, Ali
Heredia, Juan
Martinez Lorenzo, Jose
author_facet Ghanbarzadeh-Dagheyan, Ashkan
Liu, Chang
Molaei, Ali
Heredia, Juan
Martinez Lorenzo, Jose
author_sort Ghanbarzadeh-Dagheyan, Ashkan
collection PubMed
description The use of solid cavities around electromagnetic sources has been recently reported as a mechanism to provide enhanced images at microwave frequencies. These cavities are used as measurement randomizers; and they compress the wave fields at the physical layer. As a result of this compression, the amount of information collected by the sensing array through the different excited modes inside the resonant cavity is increased when compared to that obtained by no-cavity approaches. In this work, a two-dimensional cavity, having multiple openings, is used to perform such a compression for ultrasound imaging. Moreover, compressive sensing techniques are used for sparse signal retrieval with a limited number of operating transceivers. As a proof-of-concept of this theoretical investigation, two point-like targets located in a uniform background medium are imaged in the presence and the absence of the cavity. In addition, an analysis of the sensing capacity and the shape of the point spread function is also carried out for the aforementioned cases. The cavity is designed to have the maximum sensing capacity given different materials and opening sizes. It is demonstrated that the use of a cavity, whether it is made of plastic or metal, can significantly enhance the sensing capacity and the point spread function of a focused beam. The imaging performance is also improved in terms cross-range resolution when compared to the no-cavity case.
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spelling pubmed-60217992018-07-02 Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging Ghanbarzadeh-Dagheyan, Ashkan Liu, Chang Molaei, Ali Heredia, Juan Martinez Lorenzo, Jose Sensors (Basel) Article The use of solid cavities around electromagnetic sources has been recently reported as a mechanism to provide enhanced images at microwave frequencies. These cavities are used as measurement randomizers; and they compress the wave fields at the physical layer. As a result of this compression, the amount of information collected by the sensing array through the different excited modes inside the resonant cavity is increased when compared to that obtained by no-cavity approaches. In this work, a two-dimensional cavity, having multiple openings, is used to perform such a compression for ultrasound imaging. Moreover, compressive sensing techniques are used for sparse signal retrieval with a limited number of operating transceivers. As a proof-of-concept of this theoretical investigation, two point-like targets located in a uniform background medium are imaged in the presence and the absence of the cavity. In addition, an analysis of the sensing capacity and the shape of the point spread function is also carried out for the aforementioned cases. The cavity is designed to have the maximum sensing capacity given different materials and opening sizes. It is demonstrated that the use of a cavity, whether it is made of plastic or metal, can significantly enhance the sensing capacity and the point spread function of a focused beam. The imaging performance is also improved in terms cross-range resolution when compared to the no-cavity case. MDPI 2018-05-23 /pmc/articles/PMC6021799/ /pubmed/29882859 http://dx.doi.org/10.3390/s18061674 Text en © 2018 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/).
spellingShingle Article
Ghanbarzadeh-Dagheyan, Ashkan
Liu, Chang
Molaei, Ali
Heredia, Juan
Martinez Lorenzo, Jose
Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging
title Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging
title_full Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging
title_fullStr Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging
title_full_unstemmed Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging
title_short Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging
title_sort holey-cavity-based compressive sensing for ultrasound imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021799/
https://www.ncbi.nlm.nih.gov/pubmed/29882859
http://dx.doi.org/10.3390/s18061674
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