An Automatic Method for Assessing Retinal Vessel Width Changes

Detalhes bibliográficos
Autor(a) principal: Behdad Dashtbozorg
Data de Publicação: 2013
Outros Autores: Ana Maria Mendonça, Aurélio Campilho
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/85683
Resumo: The Arteriolar-to-Venular Ratio (AVR) is commonly used in studies for the diagnosis of diseases such as diabetes, hypertension or cardio-vascular pathologies. This paper presents an automatic approach for the estimation of the Arteriolar-to-Venular Ratio (AVR) in retinal images. The proposed method includes vessel segmentation, vessel caliber estimation, optic disc detection, region of interest determination, artery/vein classification and AVR calculation. The method was assessed using the images of the INSPIRE-AVR database. A mean error of 0.05 was obtained when the methods results were compared with reference AVR values provided with this dataset, thus demonstrating the adequacy of the proposed solution for AVR estimation.
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spelling An Automatic Method for Assessing Retinal Vessel Width ChangesThe Arteriolar-to-Venular Ratio (AVR) is commonly used in studies for the diagnosis of diseases such as diabetes, hypertension or cardio-vascular pathologies. This paper presents an automatic approach for the estimation of the Arteriolar-to-Venular Ratio (AVR) in retinal images. The proposed method includes vessel segmentation, vessel caliber estimation, optic disc detection, region of interest determination, artery/vein classification and AVR calculation. The method was assessed using the images of the INSPIRE-AVR database. A mean error of 0.05 was obtained when the methods results were compared with reference AVR values provided with this dataset, thus demonstrating the adequacy of the proposed solution for AVR estimation.20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/85683engBehdad DashtbozorgAna Maria MendonçaAurélio Campilhoinfo: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:RCAAP2023-11-29T14:41:32Zoai:repositorio-aberto.up.pt:10216/85683Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:06:54.661767Repositório 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 An Automatic Method for Assessing Retinal Vessel Width Changes
title An Automatic Method for Assessing Retinal Vessel Width Changes
spellingShingle An Automatic Method for Assessing Retinal Vessel Width Changes
Behdad Dashtbozorg
title_short An Automatic Method for Assessing Retinal Vessel Width Changes
title_full An Automatic Method for Assessing Retinal Vessel Width Changes
title_fullStr An Automatic Method for Assessing Retinal Vessel Width Changes
title_full_unstemmed An Automatic Method for Assessing Retinal Vessel Width Changes
title_sort An Automatic Method for Assessing Retinal Vessel Width Changes
author Behdad Dashtbozorg
author_facet Behdad Dashtbozorg
Ana Maria Mendonça
Aurélio Campilho
author_role author
author2 Ana Maria Mendonça
Aurélio Campilho
author2_role author
author
dc.contributor.author.fl_str_mv Behdad Dashtbozorg
Ana Maria Mendonça
Aurélio Campilho
description The Arteriolar-to-Venular Ratio (AVR) is commonly used in studies for the diagnosis of diseases such as diabetes, hypertension or cardio-vascular pathologies. This paper presents an automatic approach for the estimation of the Arteriolar-to-Venular Ratio (AVR) in retinal images. The proposed method includes vessel segmentation, vessel caliber estimation, optic disc detection, region of interest determination, artery/vein classification and AVR calculation. The method was assessed using the images of the INSPIRE-AVR database. A mean error of 0.05 was obtained when the methods results were compared with reference AVR values provided with this dataset, thus demonstrating the adequacy of the proposed solution for AVR estimation.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/85683
url https://hdl.handle.net/10216/85683
dc.language.iso.fl_str_mv eng
language eng
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.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
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