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Local scattering ultrasound imaging
Ultrasonic imaging is a widely used tool for detection, localisation and characterisation of material inhomogeneities with important applications in many fields. This task is particularly challenging when imaging in a complex medium, where the ultrasonic wave is scattered by the material microstruct...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806797/ https://www.ncbi.nlm.nih.gov/pubmed/33441728 http://dx.doi.org/10.1038/s41598-020-79617-z |
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author | Velichko, Alexander Villaverde, Eduardo Lopez Croxford, Anthony J. |
author_facet | Velichko, Alexander Villaverde, Eduardo Lopez Croxford, Anthony J. |
author_sort | Velichko, Alexander |
collection | PubMed |
description | Ultrasonic imaging is a widely used tool for detection, localisation and characterisation of material inhomogeneities with important applications in many fields. This task is particularly challenging when imaging in a complex medium, where the ultrasonic wave is scattered by the material microstructure, preventing detection and characterisation of weak targets. Fundamentally, the maximum information that can be experimentally obtained from each material region consists of a set of reflected signals for different incident waves. However, these data are not directly accessible from the raw measurements, which represent a superposition of reflections from all scatterers in the medium. Here we show, that a complete set of transmitter–receiver data encodes sufficient information in order to achieve full spatio–temporal separation of transmitter–receiver data, corresponding to different local scattering areas. We show that access to the local scattering data can provide valuable benefits for many applications. More importantly, this technique enables fundamentally new approaches, exploiting the angular distribution of the scattering amplitude and phase of each local scattering region. Here we demonstrate how the local scattering directivity can be used to build the local scattering image, releasing the full potential and richness of the transmit–receive data. As a proof of concept, we demonstrate the detection of small inclusions in various highly scattering materials using numerical and experimental examples. The described principles are very general and can be applied to any research field where the phased array technology is employed. |
format | Online Article Text |
id | pubmed-7806797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78067972021-01-14 Local scattering ultrasound imaging Velichko, Alexander Villaverde, Eduardo Lopez Croxford, Anthony J. Sci Rep Article Ultrasonic imaging is a widely used tool for detection, localisation and characterisation of material inhomogeneities with important applications in many fields. This task is particularly challenging when imaging in a complex medium, where the ultrasonic wave is scattered by the material microstructure, preventing detection and characterisation of weak targets. Fundamentally, the maximum information that can be experimentally obtained from each material region consists of a set of reflected signals for different incident waves. However, these data are not directly accessible from the raw measurements, which represent a superposition of reflections from all scatterers in the medium. Here we show, that a complete set of transmitter–receiver data encodes sufficient information in order to achieve full spatio–temporal separation of transmitter–receiver data, corresponding to different local scattering areas. We show that access to the local scattering data can provide valuable benefits for many applications. More importantly, this technique enables fundamentally new approaches, exploiting the angular distribution of the scattering amplitude and phase of each local scattering region. Here we demonstrate how the local scattering directivity can be used to build the local scattering image, releasing the full potential and richness of the transmit–receive data. As a proof of concept, we demonstrate the detection of small inclusions in various highly scattering materials using numerical and experimental examples. The described principles are very general and can be applied to any research field where the phased array technology is employed. Nature Publishing Group UK 2021-01-13 /pmc/articles/PMC7806797/ /pubmed/33441728 http://dx.doi.org/10.1038/s41598-020-79617-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Velichko, Alexander Villaverde, Eduardo Lopez Croxford, Anthony J. Local scattering ultrasound imaging |
title | Local scattering ultrasound imaging |
title_full | Local scattering ultrasound imaging |
title_fullStr | Local scattering ultrasound imaging |
title_full_unstemmed | Local scattering ultrasound imaging |
title_short | Local scattering ultrasound imaging |
title_sort | local scattering ultrasound imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806797/ https://www.ncbi.nlm.nih.gov/pubmed/33441728 http://dx.doi.org/10.1038/s41598-020-79617-z |
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