Reconstruction of echocardiographic images for the detection of several congenital heart defects
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/13785 |
Resumo: | The purpose of this thesis was the research of a new segmentation method to detect and extract the heart cavities in echocardiographic images. To satisfy the clinical practice requirements, it is demanded that the segmentation algorithm is capable of providing reliable boundary extraction. This is crucial to the correct diagnosis of potential congenital malformations and diseases. The proposed algorithm is based on Log-Gabor wavelets to detect symmetric features in the images, and a level set evolution in order to extract simultaneously all heart cavities in an accurate way. The formulation of the level set uses a new logarithmic based stopping function, which improved the boundary detection when compared to other level set methods. Experiments were performed on echocardiographic images of children hearts. The validation of the algorithm included comparisons using stateof- art methods as the manual contours drawn by a trained physician, and the error quantification using similarity metrics. Our method outperforms the state-of-art in echocardiographic heart segmentation, encouraging its future application in the clinical practice. This new segmentation method has potential to improve the performance of 3D reconstruction algorithms, since the increased accuracy of the extracted heart contours simplifies its alignment in space and henceforth the recover of the 3D structure. |
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Reconstruction of echocardiographic images for the detection of several congenital heart defectsCoração- imagens electrocardiográficasCoração - anatomiaCoração - malformaçõesDetecção de defeitos congenitosEcocardiografia - criançaUltrassonografiaThe purpose of this thesis was the research of a new segmentation method to detect and extract the heart cavities in echocardiographic images. To satisfy the clinical practice requirements, it is demanded that the segmentation algorithm is capable of providing reliable boundary extraction. This is crucial to the correct diagnosis of potential congenital malformations and diseases. The proposed algorithm is based on Log-Gabor wavelets to detect symmetric features in the images, and a level set evolution in order to extract simultaneously all heart cavities in an accurate way. The formulation of the level set uses a new logarithmic based stopping function, which improved the boundary detection when compared to other level set methods. Experiments were performed on echocardiographic images of children hearts. The validation of the algorithm included comparisons using stateof- art methods as the manual contours drawn by a trained physician, and the error quantification using similarity metrics. Our method outperforms the state-of-art in echocardiographic heart segmentation, encouraging its future application in the clinical practice. This new segmentation method has potential to improve the performance of 3D reconstruction algorithms, since the increased accuracy of the extracted heart contours simplifies its alignment in space and henceforth the recover of the 3D structure.2010-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10316/13785http://hdl.handle.net/10316/13785engAntunes, Sofia - Reconstruction of echocardiographic images for the detection of several congenital heart defects. Coimbra, 2010Antunes, Sofia Gonçalvesinfo: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:RCAAP2022-01-20T17:49:15Zoai:estudogeral.uc.pt:10316/13785Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:00:21.043763Repositório 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 |
Reconstruction of echocardiographic images for the detection of several congenital heart defects |
title |
Reconstruction of echocardiographic images for the detection of several congenital heart defects |
spellingShingle |
Reconstruction of echocardiographic images for the detection of several congenital heart defects Antunes, Sofia Gonçalves Coração- imagens electrocardiográficas Coração - anatomia Coração - malformações Detecção de defeitos congenitos Ecocardiografia - criança Ultrassonografia |
title_short |
Reconstruction of echocardiographic images for the detection of several congenital heart defects |
title_full |
Reconstruction of echocardiographic images for the detection of several congenital heart defects |
title_fullStr |
Reconstruction of echocardiographic images for the detection of several congenital heart defects |
title_full_unstemmed |
Reconstruction of echocardiographic images for the detection of several congenital heart defects |
title_sort |
Reconstruction of echocardiographic images for the detection of several congenital heart defects |
author |
Antunes, Sofia Gonçalves |
author_facet |
Antunes, Sofia Gonçalves |
author_role |
author |
dc.contributor.author.fl_str_mv |
Antunes, Sofia Gonçalves |
dc.subject.por.fl_str_mv |
Coração- imagens electrocardiográficas Coração - anatomia Coração - malformações Detecção de defeitos congenitos Ecocardiografia - criança Ultrassonografia |
topic |
Coração- imagens electrocardiográficas Coração - anatomia Coração - malformações Detecção de defeitos congenitos Ecocardiografia - criança Ultrassonografia |
description |
The purpose of this thesis was the research of a new segmentation method to detect and extract the heart cavities in echocardiographic images. To satisfy the clinical practice requirements, it is demanded that the segmentation algorithm is capable of providing reliable boundary extraction. This is crucial to the correct diagnosis of potential congenital malformations and diseases. The proposed algorithm is based on Log-Gabor wavelets to detect symmetric features in the images, and a level set evolution in order to extract simultaneously all heart cavities in an accurate way. The formulation of the level set uses a new logarithmic based stopping function, which improved the boundary detection when compared to other level set methods. Experiments were performed on echocardiographic images of children hearts. The validation of the algorithm included comparisons using stateof- art methods as the manual contours drawn by a trained physician, and the error quantification using similarity metrics. Our method outperforms the state-of-art in echocardiographic heart segmentation, encouraging its future application in the clinical practice. This new segmentation method has potential to improve the performance of 3D reconstruction algorithms, since the increased accuracy of the extracted heart contours simplifies its alignment in space and henceforth the recover of the 3D structure. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-07 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/13785 http://hdl.handle.net/10316/13785 |
url |
http://hdl.handle.net/10316/13785 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Antunes, Sofia - Reconstruction of echocardiographic images for the detection of several congenital heart defects. Coimbra, 2010 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1799133894387171328 |