Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/25469 |
Resumo: | We numerically assess the potential of microwave imaging (MWI) for the detection of axillary lymph nodes (ALNs). The proposed MWI system is radar-based, in which a broad-band signal (2-6 GHz) is transmitted by a single probing antenna to scan the axillary region. The full-wave simulations include a realistic phantom of the underarm region which was previously developed by the authors. The phantom includes the main tissues of the axillary region and the corresponding dielectric properties. We show that the proposed system can successfully detect an ALN embedded in a homogeneous fatty medium. Additionally, we show that despite the strong reflection of the muscle - caused by the high dielectric contrast between fat and muscle - we are able to distinguish an ALN from the background. To the best of our knowledge, this is the first study in literature which employs an anatomically realistic phantom to study ALN MWI. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantomAxillary lymph node imagingBroadband antennaMicrowave imagingNumerical assessmentRemote sensingWe numerically assess the potential of microwave imaging (MWI) for the detection of axillary lymph nodes (ALNs). The proposed MWI system is radar-based, in which a broad-band signal (2-6 GHz) is transmitted by a single probing antenna to scan the axillary region. The full-wave simulations include a realistic phantom of the underarm region which was previously developed by the authors. The phantom includes the main tissues of the axillary region and the corresponding dielectric properties. We show that the proposed system can successfully detect an ALN embedded in a homogeneous fatty medium. Additionally, we show that despite the strong reflection of the muscle - caused by the high dielectric contrast between fat and muscle - we are able to distinguish an ALN from the background. To the best of our knowledge, this is the first study in literature which employs an anatomically realistic phantom to study ALN MWI.IEEE2022-05-19T15:11:01Z2021-01-01T00:00:00Z20212022-05-19T16:09:53Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10071/25469eng978-88-31299-02-210.23919/EuCAP51087.2021.9410925Savazzi, M.Costa, J. R.Fernandes, C. A.Felício, J. M.Conceição, R. C.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-07-07T03:00:18Zoai:repositorio.iscte-iul.pt:10071/25469Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T03:00:18Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom |
title |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom |
spellingShingle |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom Savazzi, M. Axillary lymph node imaging Broadband antenna Microwave imaging Numerical assessment Remote sensing |
title_short |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom |
title_full |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom |
title_fullStr |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom |
title_full_unstemmed |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom |
title_sort |
Numerical assessment of microwave imaging for axillary lymph nodes screening using anthropomorphic phantom |
author |
Savazzi, M. |
author_facet |
Savazzi, M. Costa, J. R. Fernandes, C. A. Felício, J. M. Conceição, R. C. |
author_role |
author |
author2 |
Costa, J. R. Fernandes, C. A. Felício, J. M. Conceição, R. C. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Savazzi, M. Costa, J. R. Fernandes, C. A. Felício, J. M. Conceição, R. C. |
dc.subject.por.fl_str_mv |
Axillary lymph node imaging Broadband antenna Microwave imaging Numerical assessment Remote sensing |
topic |
Axillary lymph node imaging Broadband antenna Microwave imaging Numerical assessment Remote sensing |
description |
We numerically assess the potential of microwave imaging (MWI) for the detection of axillary lymph nodes (ALNs). The proposed MWI system is radar-based, in which a broad-band signal (2-6 GHz) is transmitted by a single probing antenna to scan the axillary region. The full-wave simulations include a realistic phantom of the underarm region which was previously developed by the authors. The phantom includes the main tissues of the axillary region and the corresponding dielectric properties. We show that the proposed system can successfully detect an ALN embedded in a homogeneous fatty medium. Additionally, we show that despite the strong reflection of the muscle - caused by the high dielectric contrast between fat and muscle - we are able to distinguish an ALN from the background. To the best of our knowledge, this is the first study in literature which employs an anatomically realistic phantom to study ALN MWI. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01T00:00:00Z 2021 2022-05-19T15:11:01Z 2022-05-19T16:09:53Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/25469 |
url |
http://hdl.handle.net/10071/25469 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-88-31299-02-2 10.23919/EuCAP51087.2021.9410925 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817546374257836032 |