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Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models

This paper presents a framework for tracking left ventricular (LV) endocardium through 2D echocardiography image sequence. The framework is based on fusion of biomechanical (BM) model of the heart with the parametric deformable model. The BM model constitutive equation consists of passive and active...

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Detalles Bibliográficos
Autores principales: Ketout, Hussin, Gu, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3918705/
https://www.ncbi.nlm.nih.gov/pubmed/24587814
http://dx.doi.org/10.1155/2014/302458
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author Ketout, Hussin
Gu, Jason
author_facet Ketout, Hussin
Gu, Jason
author_sort Ketout, Hussin
collection PubMed
description This paper presents a framework for tracking left ventricular (LV) endocardium through 2D echocardiography image sequence. The framework is based on fusion of biomechanical (BM) model of the heart with the parametric deformable model. The BM model constitutive equation consists of passive and active strain energy functions. The deformations of the LV are obtained by solving the constitutive equations using ABAQUS FEM in each frame in the cardiac cycle. The strain energy functions are defined in two user subroutines for active and passive phases. Average fusion technique is used to fuse the BM and deformable model contours. Experimental results are conducted to verify the detected contours and the results are evaluated by comparing themto a created gold standard. The results and the evaluation proved that the framework has the tremendous potential to track and segment the LV through the whole cardiac cycle.
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spelling pubmed-39187052014-03-02 Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models Ketout, Hussin Gu, Jason Comput Math Methods Med Research Article This paper presents a framework for tracking left ventricular (LV) endocardium through 2D echocardiography image sequence. The framework is based on fusion of biomechanical (BM) model of the heart with the parametric deformable model. The BM model constitutive equation consists of passive and active strain energy functions. The deformations of the LV are obtained by solving the constitutive equations using ABAQUS FEM in each frame in the cardiac cycle. The strain energy functions are defined in two user subroutines for active and passive phases. Average fusion technique is used to fuse the BM and deformable model contours. Experimental results are conducted to verify the detected contours and the results are evaluated by comparing themto a created gold standard. The results and the evaluation proved that the framework has the tremendous potential to track and segment the LV through the whole cardiac cycle. Hindawi Publishing Corporation 2014 2014-01-21 /pmc/articles/PMC3918705/ /pubmed/24587814 http://dx.doi.org/10.1155/2014/302458 Text en Copyright © 2014 H. Ketout and J. Gu. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ketout, Hussin
Gu, Jason
Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models
title Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models
title_full Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models
title_fullStr Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models
title_full_unstemmed Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models
title_short Left Ventricular Endocardium Tracking by Fusion of Biomechanical and Deformable Models
title_sort left ventricular endocardium tracking by fusion of biomechanical and deformable models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3918705/
https://www.ncbi.nlm.nih.gov/pubmed/24587814
http://dx.doi.org/10.1155/2014/302458
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