Skip navigation
Please use this identifier to cite or link to this item:
Files in This Item:
File Description SizeFormat 
ARTIGO_Semi-AutomaticAlgorithm.pdf2,04 MBAdobe PDFView/Open
Title: Semi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle
Authors: Melo Júnior, Salvador Alves de
Macchiavello Espinoza, Bruno Luiggi
Andrade, Marcelino Monteiro de
Carvalho, João Luiz Azevedo de
Carvalho, Hervaldo Sampaio
Vasconcelos, Daniel França
Berger, Pedro de Azevedo
Rocha, Adson Ferreira da
Nascimento, Francisco Assis de Oliveira
Assunto:: Ecocardiografia
Processamento de imagens
Issue Date: 2010
Publisher: BioMed Central
Citation: MELO JUNIOR, Salvador A. et al. Semi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle. BioMedical Engineering Online, v. 9, n. 5, 17 p., 2010. Disponível em: <>. Acesso em: 28 fev. 2013. doi:10.1186/1475-925X-9-5
Abstract: Background: 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.
Description: The 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).
Licença:: © 2010 Melo et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fonte: Acesso em: 28 fev. 2013.
DOI: doi:
Appears in Collections:CIC - Artigos publicados em periódicos
ENE - Artigos publicados em periódicos

Show full item record Recommend this item " class="statisticsLink btn btn-primary" href="/handle/10482/12265/statistics">

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.