Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device

Detalhes bibliográficos
Autor(a) principal: Godinho, Daniela M.
Data de Publicação: 2020
Outros Autores: Felicio, Joao M., Castela, Tiago, Silva, Nuno A., Orvalho, M. Lurdes, Fernandes, Carlos A., Conceicao, Raquel C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/53518
Resumo: Microwave Imaging (MWI) is an emerging medical imaging technique, which has been studied to aid breast cancer diagnosis in the frequency range from 0.5 to 30 GHz. The information about the dielectric properties of each tissue is essential to assess the viability of this type of systems. However, accurate measurements of heterogeneous tissues can be very challenging, and the current available information is still very limited. In this paper, we present a methodology for extracting dielectric properties to create anatomical models of the axillary region. These models will be used in a MWI device to aid breast cancer diagnosis through the detection of metastasised axillary lymph nodes. We apply segmentation tools to Magnetic Resonance Images (MRI) of the breast and assign dielectric properties to each tissue, extracting preliminary information about the properties of axillary lymph nodes. This study may open a way to more quickly extract dielectric properties of tissues and/or validate measurements, accelerating the development of microwave-based medical devices.
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spelling Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging DeviceAxillary Lymph NodesBreast CancerDielectric PropertiesMRI SegmentationMicrowave ImagingMicrowave Imaging (MWI) is an emerging medical imaging technique, which has been studied to aid breast cancer diagnosis in the frequency range from 0.5 to 30 GHz. The information about the dielectric properties of each tissue is essential to assess the viability of this type of systems. However, accurate measurements of heterogeneous tissues can be very challenging, and the current available information is still very limited. In this paper, we present a methodology for extracting dielectric properties to create anatomical models of the axillary region. These models will be used in a MWI device to aid breast cancer diagnosis through the detection of metastasised axillary lymph nodes. We apply segmentation tools to Magnetic Resonance Images (MRI) of the breast and assign dielectric properties to each tissue, extracting preliminary information about the properties of axillary lymph nodes. This study may open a way to more quickly extract dielectric properties of tissues and/or validate measurements, accelerating the development of microwave-based medical devices.The authors would like to acknowledge the study with ref. CES/44/2019/ME in Hospital da Luz Lisboa (19/09/2019).Repositório da Universidade de LisboaGodinho, Daniela M.Felicio, Joao M.Castela, TiagoSilva, Nuno A.Orvalho, M. LurdesFernandes, Carlos A.Conceicao, Raquel C.2022-06-28T10:09:40Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/53518eng10.23919/EuCAP48036.2020.9135980info: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:RCAAP2024-11-20T18:15:12Zoai:repositorio.ul.pt:10451/53518Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T18:15:12Repositório 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 Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
title Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
spellingShingle Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
Godinho, Daniela M.
Axillary Lymph Nodes
Breast Cancer
Dielectric Properties
MRI Segmentation
Microwave Imaging
title_short Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
title_full Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
title_fullStr Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
title_full_unstemmed Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
title_sort Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device
author Godinho, Daniela M.
author_facet Godinho, Daniela M.
Felicio, Joao M.
Castela, Tiago
Silva, Nuno A.
Orvalho, M. Lurdes
Fernandes, Carlos A.
Conceicao, Raquel C.
author_role author
author2 Felicio, Joao M.
Castela, Tiago
Silva, Nuno A.
Orvalho, M. Lurdes
Fernandes, Carlos A.
Conceicao, Raquel C.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Godinho, Daniela M.
Felicio, Joao M.
Castela, Tiago
Silva, Nuno A.
Orvalho, M. Lurdes
Fernandes, Carlos A.
Conceicao, Raquel C.
dc.subject.por.fl_str_mv Axillary Lymph Nodes
Breast Cancer
Dielectric Properties
MRI Segmentation
Microwave Imaging
topic Axillary Lymph Nodes
Breast Cancer
Dielectric Properties
MRI Segmentation
Microwave Imaging
description Microwave Imaging (MWI) is an emerging medical imaging technique, which has been studied to aid breast cancer diagnosis in the frequency range from 0.5 to 30 GHz. The information about the dielectric properties of each tissue is essential to assess the viability of this type of systems. However, accurate measurements of heterogeneous tissues can be very challenging, and the current available information is still very limited. In this paper, we present a methodology for extracting dielectric properties to create anatomical models of the axillary region. These models will be used in a MWI device to aid breast cancer diagnosis through the detection of metastasised axillary lymph nodes. We apply segmentation tools to Magnetic Resonance Images (MRI) of the breast and assign dielectric properties to each tissue, extracting preliminary information about the properties of axillary lymph nodes. This study may open a way to more quickly extract dielectric properties of tissues and/or validate measurements, accelerating the development of microwave-based medical devices.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2022-06-28T10:09:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/53518
url http://hdl.handle.net/10451/53518
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.23919/EuCAP48036.2020.9135980
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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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
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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
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