Semi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorMelo Júnior, Salvador Alves de-
Autor(es): dc.creatorMacchiavello Espinoza, Bruno Luiggi-
Autor(es): dc.creatorAndrade, Marcelino Monteiro de-
Autor(es): dc.creatorCarvalho, João Luiz Azevedo de-
Autor(es): dc.creatorCarvalho, Hervaldo Sampaio-
Autor(es): dc.creatorVasconcelos, Daniel França-
Autor(es): dc.creatorBerger, Pedro de Azevedo-
Autor(es): dc.creatorRocha, Adson Ferreira da-
Autor(es): dc.creatorNascimento, Francisco Assis de Oliveira-
Data de aceite: dc.date.accessioned2021-10-14T17:31:49Z-
Data de disponibilização: dc.date.available2021-10-14T17:31:49Z-
Data de envio: dc.date.issued2013-02-28-
Data de envio: dc.date.issued2013-02-28-
Data de envio: dc.date.issued2010-
Fonte completa do material: dc.identifierhttp://repositorio.unb.br/handle/10482/12265-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/610060-
Descrição: dc.descriptionThe present study was supported by CNPq, a Brazilian government agency for scientific and technological development: “Chamada Conjunta MCT/SEPIN-FINEP-CNPq 01/2002, Programa de Apoio à Pesquisa e Desenvolvimento e Inovação em Tecnologia da Informação PDI - TI”. BM received a M.Sc. fellowship from the Brazilian Ministry of Education (MEC/CAPES).-
Descrição: dc.descriptionBackground: Two-dimensional echocardiography (2D-echo) allows the evaluation of cardiac structures and their movements. A wide range of clinical diagnoses are based on the performance of the left ventricle. The evaluation of myocardial function is typically performed by manual segmentation of the ventricular cavity in a series of dynamic images. This process is laborious and operator dependent. The automatic segmentation of the left ventricle in 4-chamber long-axis images during diastole is troublesome, because of the opening of the mitral valve. Methods: This work presents a method for segmentation of the left ventricle in dynamic 2D-echo 4-chamber long-axis images over the complete cardiac cycle. The proposed algorithm is based on classic image processing techniques, including timeaveraging and wavelet-based denoising, edge enhancement filtering, morphological operations, homotopy modification, and watershed segmentation. The proposed method is semi-automatic, requiring a single user intervention for identification of the position of the mitral valve in the first temporal frame of the video sequence. Image segmentation is performed on a set of dynamic 2D-echo images collected from an examination covering two consecutive cardiac cycles. Results: The proposed method is demonstrated and evaluated on twelve healthy volunteers. The results are quantitatively evaluated using four different metrics, in a comparison with contours manually segmented by a specialist, and with four alternative methods from the literature. The method’s intra- and inter-operator variabilities are also evaluated. Conclusions: The proposed method allows the automatic construction of the area variation curve of the left ventricle corresponding to a complete cardiac cycle. This may potentially be used for the identification of several clinical parameters, including the area variation fraction. This parameter could potentially be used for evaluating the global systolic function of the left ventricle.-
Formato: dc.formatapplication/pdf-
Publicador: dc.publisherBioMed Central-
Direitos: dc.rightsAcesso Aberto-
Direitos: dc.rights© 2010 Melo et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fonte: http://www.biomedical-engineering-online.com/content/pdf/1475-925X-9-5.pdf. Acesso em: 28 fev. 2013.-
Palavras-chave: dc.subjectEcocardiografia-
Palavras-chave: dc.subjectProcessamento de imagens-
Palavras-chave: dc.subjectAlgoritmos-
Título: dc.titleSemi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional – UNB

Não existem arquivos associados a este item.