Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images

Detalhes bibliográficos
Autor(a) principal: Danilo Samuel Jodas
Data de Publicação: 2020
Outros Autores: Maria Francisca Monteiro da Costa, Tiago A. A. Parreira, Aledir Silveira Pereira, João Manuel R. S. Tavares
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/127773
Resumo: Segmentation methods have assumed an important role in image-based diagnosis of several cardiovascular diseases. Particularly, the segmentation of the boundary of the carotid artery is demanded in the detection and characterization of atherosclerosis and assessment of the disease progression. In this article, a fully automatic approach for the segmentation of the carotid artery boundary in Proton Density Weighted Magnetic Resonance Images is presented. The approach relies on the expansion of the lumen contour based on a distance map built using the gray-weighted distance relative to the center of the identified lumen region in the image under analysis. Then, a Snake model with a modified weighted external energy based on the combination of a balloon force along with a Gradient Vector Flow-based external energy is applied to the expanded contour towards the correct boundary of the carotid artery. The average values of the Dice coefficient, Polyline distance, mean contour distance and centroid distance found in the segmentation of 139 carotid arteries were 0.83 +/- 0.11, 2.70 +/- 1.69 pixels, 2.79 +/- 1.89 pixels and 3.44 +/- 2.82 pixels, respectively. The segmentation results of the proposed approach were also compared against the ones obtained by related approaches found in the literature, which confirmed the outstanding performance of the new approach. Additionally, the proposed weighted external energy for the Snake model was shown to be also robust to carotid arteries with large thickness and weak boundary image edges.
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spelling Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance imagesCiências Tecnológicas, Ciências médicas e da saúdeTechnological sciences, Medical and Health sciencesSegmentation methods have assumed an important role in image-based diagnosis of several cardiovascular diseases. Particularly, the segmentation of the boundary of the carotid artery is demanded in the detection and characterization of atherosclerosis and assessment of the disease progression. In this article, a fully automatic approach for the segmentation of the carotid artery boundary in Proton Density Weighted Magnetic Resonance Images is presented. The approach relies on the expansion of the lumen contour based on a distance map built using the gray-weighted distance relative to the center of the identified lumen region in the image under analysis. Then, a Snake model with a modified weighted external energy based on the combination of a balloon force along with a Gradient Vector Flow-based external energy is applied to the expanded contour towards the correct boundary of the carotid artery. The average values of the Dice coefficient, Polyline distance, mean contour distance and centroid distance found in the segmentation of 139 carotid arteries were 0.83 +/- 0.11, 2.70 +/- 1.69 pixels, 2.79 +/- 1.89 pixels and 3.44 +/- 2.82 pixels, respectively. The segmentation results of the proposed approach were also compared against the ones obtained by related approaches found in the literature, which confirmed the outstanding performance of the new approach. Additionally, the proposed weighted external energy for the Snake model was shown to be also robust to carotid arteries with large thickness and weak boundary image edges.2020-082020-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleimage/jpegapplication/pdfhttps://hdl.handle.net/10216/127773eng0010-482510.1016/j.compbiomed.2020.103901Danilo Samuel JodasMaria Francisca Monteiro da CostaTiago A. A. ParreiraAledir Silveira PereiraJoão Manuel R. S. Tavaresinfo: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:RCAAP2023-11-29T14:58:21Zoai:repositorio-aberto.up.pt:10216/127773Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:12:46.082287Repositório 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 Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
title Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
spellingShingle Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
Danilo Samuel Jodas
Ciências Tecnológicas, Ciências médicas e da saúde
Technological sciences, Medical and Health sciences
title_short Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
title_full Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
title_fullStr Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
title_full_unstemmed Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
title_sort Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images
author Danilo Samuel Jodas
author_facet Danilo Samuel Jodas
Maria Francisca Monteiro da Costa
Tiago A. A. Parreira
Aledir Silveira Pereira
João Manuel R. S. Tavares
author_role author
author2 Maria Francisca Monteiro da Costa
Tiago A. A. Parreira
Aledir Silveira Pereira
João Manuel R. S. Tavares
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Danilo Samuel Jodas
Maria Francisca Monteiro da Costa
Tiago A. A. Parreira
Aledir Silveira Pereira
João Manuel R. S. Tavares
dc.subject.por.fl_str_mv Ciências Tecnológicas, Ciências médicas e da saúde
Technological sciences, Medical and Health sciences
topic Ciências Tecnológicas, Ciências médicas e da saúde
Technological sciences, Medical and Health sciences
description Segmentation methods have assumed an important role in image-based diagnosis of several cardiovascular diseases. Particularly, the segmentation of the boundary of the carotid artery is demanded in the detection and characterization of atherosclerosis and assessment of the disease progression. In this article, a fully automatic approach for the segmentation of the carotid artery boundary in Proton Density Weighted Magnetic Resonance Images is presented. The approach relies on the expansion of the lumen contour based on a distance map built using the gray-weighted distance relative to the center of the identified lumen region in the image under analysis. Then, a Snake model with a modified weighted external energy based on the combination of a balloon force along with a Gradient Vector Flow-based external energy is applied to the expanded contour towards the correct boundary of the carotid artery. The average values of the Dice coefficient, Polyline distance, mean contour distance and centroid distance found in the segmentation of 139 carotid arteries were 0.83 +/- 0.11, 2.70 +/- 1.69 pixels, 2.79 +/- 1.89 pixels and 3.44 +/- 2.82 pixels, respectively. The segmentation results of the proposed approach were also compared against the ones obtained by related approaches found in the literature, which confirmed the outstanding performance of the new approach. Additionally, the proposed weighted external energy for the Snake model was shown to be also robust to carotid arteries with large thickness and weak boundary image edges.
publishDate 2020
dc.date.none.fl_str_mv 2020-08
2020-08-01T00:00:00Z
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/127773
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dc.language.iso.fl_str_mv eng
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10.1016/j.compbiomed.2020.103901
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