Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/62027

TítuloLeft-Atrial Segmentation From 3-D Ultrasound Using B-Spline Explicit Active Surfaces With Scale Uncoupling
Autor(es)Almeida, Nuno
Friboulet, Denis
Sarvari, Sebastian Imre
Bernard, Olivier
Barbosa, Daniel Joaquim Cunha
Samset, Eigil
Dhooge, Jan
Palavras-chaveEchocardiography
Heart Atria
Humans
Models, Theoretical
Algorithms
Three-Dimensional
Active surfaces
B-splines
image segmentation
Heart
Niobium
Shape
Splines (mathematics)
Surface morphology
Three-dimensional displays
DataFev-2016
EditoraIEEE
RevistaIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
CitaçãoAlmeida, N., Friboulet, D., Sarvari, S. I., Bernard, O., et. al.(2015). Left-atrial segmentation from 3-D ultrasound using B-spline explicit active surfaces with scale uncoupling. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 63(2), 212-221
Resumo(s)Segmentation of the left atrium (LA) of the heart allows quantification of LA volume dynamics which can give insight into cardiac function. However, very little attention has been given to LA segmentation from three-dimensional (3-D) ultrasound (US), most efforts being focused on the segmentation of the left ventricle (LV). The B-spline explicit active surfaces (BEAS) framework has been shown to be a very robust and efficient methodology to perform LV segmentation. In this study, we propose an extension of the BEAS framework, introducing B-splines with uncoupled scaling. This formulation improves the shape support for less regular and more variable structures, by giving independent control over smoothness and number of control points. Semiautomatic segmentation of the LA endocardium using this framework was tested in a setup requiring little user input, on 20 volumetric sequences of echocardiographic data from healthy subjects. The segmentation results were evaluated against manual reference delineations of the LA. Relevant LA morphological and functional parameters were derived from the segmented surfaces, in order to assess the performance of the proposed method on its clinical usage. The results showed that the modified BEAS framework is capable of accurate semiautomatic LA segmentation in 3-D transthoracic US, providing reliable quantification of the LA morphology and function.
TipoArtigo
URIhttps://hdl.handle.net/1822/62027
DOI10.1109/TUFFC.2015.2507638
ISSN0885-3010
e-ISSN1525-8955
Versão da editorahttps://ieeexplore.ieee.org/abstract/document/7352349
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:ICVS - Artigos em revistas internacionais / Papers in international journals

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