Automatic segmentation of the carotid artery in ultrasound B-mode images
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/67098 |
Resumo: | B-mode ultrasound imaging is well-known and used in the medical imaging field; however, it presents various difficulties, specifically in tasks of image segmentation and surface reconstruction, due to intrinsic adverse characteristics, such like low contrast and noise [1,2]. Despite this, B-mode ultrasound imaging has been used in the diagnosis of several cardiac diseases, particularly, carotid artery diseases like atherosclerosis, known as the hardening of the artery, after the accumulation of fatty substances, i.e. lipoproteins, in the artery walls, known as plaques. In this work, an anisotropic diffusion filter is used for speckle removal, and morphological operators are employed in the detection of the artery. The obtained information is used in the definition of two initial contours, one for the lumen and another for the bifurcation boundaries, used to initiate a Chan-Vese-based segmentation method. |
id |
RCAP_577b180dafbfa7b544019fd9aa7aa21c |
---|---|
oai_identifier_str |
oai:repositorio-aberto.up.pt:10216/67098 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Automatic segmentation of the carotid artery in ultrasound B-mode imagesCiências Tecnológicas, Ciências da engenharia e tecnologiasTechnological sciences, Engineering and technologyB-mode ultrasound imaging is well-known and used in the medical imaging field; however, it presents various difficulties, specifically in tasks of image segmentation and surface reconstruction, due to intrinsic adverse characteristics, such like low contrast and noise [1,2]. Despite this, B-mode ultrasound imaging has been used in the diagnosis of several cardiac diseases, particularly, carotid artery diseases like atherosclerosis, known as the hardening of the artery, after the accumulation of fatty substances, i.e. lipoproteins, in the artery walls, known as plaques. In this work, an anisotropic diffusion filter is used for speckle removal, and morphological operators are employed in the detection of the artery. The obtained information is used in the definition of two initial contours, one for the lumen and another for the bifurcation boundaries, used to initiate a Chan-Vese-based segmentation method.20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/67098engAndré M. F. SantosJoão Manuel R. S. TavaresElsa AzevedoLuísa Sousainfo: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:RCAAP2023-11-29T13:32:55Zoai:repositorio-aberto.up.pt:10216/67098Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:42:24.298810Repositório 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 |
Automatic segmentation of the carotid artery in ultrasound B-mode images |
title |
Automatic segmentation of the carotid artery in ultrasound B-mode images |
spellingShingle |
Automatic segmentation of the carotid artery in ultrasound B-mode images André M. F. Santos Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
title_short |
Automatic segmentation of the carotid artery in ultrasound B-mode images |
title_full |
Automatic segmentation of the carotid artery in ultrasound B-mode images |
title_fullStr |
Automatic segmentation of the carotid artery in ultrasound B-mode images |
title_full_unstemmed |
Automatic segmentation of the carotid artery in ultrasound B-mode images |
title_sort |
Automatic segmentation of the carotid artery in ultrasound B-mode images |
author |
André M. F. Santos |
author_facet |
André M. F. Santos João Manuel R. S. Tavares Elsa Azevedo Luísa Sousa |
author_role |
author |
author2 |
João Manuel R. S. Tavares Elsa Azevedo Luísa Sousa |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
André M. F. Santos João Manuel R. S. Tavares Elsa Azevedo Luísa Sousa |
dc.subject.por.fl_str_mv |
Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
topic |
Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
description |
B-mode ultrasound imaging is well-known and used in the medical imaging field; however, it presents various difficulties, specifically in tasks of image segmentation and surface reconstruction, due to intrinsic adverse characteristics, such like low contrast and noise [1,2]. Despite this, B-mode ultrasound imaging has been used in the diagnosis of several cardiac diseases, particularly, carotid artery diseases like atherosclerosis, known as the hardening of the artery, after the accumulation of fatty substances, i.e. lipoproteins, in the artery walls, known as plaques. In this work, an anisotropic diffusion filter is used for speckle removal, and morphological operators are employed in the detection of the artery. The obtained information is used in the definition of two initial contours, one for the lumen and another for the bifurcation boundaries, used to initiate a Chan-Vese-based segmentation method. |
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/10216/67098 |
url |
https://hdl.handle.net/10216/67098 |
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 |
|
_version_ |
1799135738940358656 |