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An optimisation-based iterative approach for speckle tracking echocardiography

Speckle tracking is the most prominent technique used to estimate the regional movement of the heart based on echocardiograms. In this study, we propose an optimised-based block matching algorithm to perform speckle tracking iteratively. The proposed technique was evaluated using a publicly availabl...

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Autores principales: Azarmehr, Neda, Ye, Xujiong, Howes, Joseph D., Docking, Benjamin, Howard, James P., Francis, Darrel P., Zolgharni, Massoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211789/
https://www.ncbi.nlm.nih.gov/pubmed/32253607
http://dx.doi.org/10.1007/s11517-020-02142-8
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author Azarmehr, Neda
Ye, Xujiong
Howes, Joseph D.
Docking, Benjamin
Howard, James P.
Francis, Darrel P.
Zolgharni, Massoud
author_facet Azarmehr, Neda
Ye, Xujiong
Howes, Joseph D.
Docking, Benjamin
Howard, James P.
Francis, Darrel P.
Zolgharni, Massoud
author_sort Azarmehr, Neda
collection PubMed
description Speckle tracking is the most prominent technique used to estimate the regional movement of the heart based on echocardiograms. In this study, we propose an optimised-based block matching algorithm to perform speckle tracking iteratively. The proposed technique was evaluated using a publicly available synthetic echocardiographic dataset with known ground-truth from several major vendors and for healthy/ischaemic cases. The results were compared with the results from the classic (standard) two-dimensional block matching. The proposed method presented an average displacement error of 0.57 pixels, while classic block matching provided an average error of 1.15 pixels. When estimating the segmental/regional longitudinal strain in healthy cases, the proposed method, with an average of 0.32 ± 0.53, outperformed the classic counterpart, with an average of 3.43 ± 2.84. A similar superior performance was observed in ischaemic cases. This method does not require any additional ad hoc filtering process. Therefore, it can potentially help to reduce the variability in the strain measurements caused by various post-processing techniques applied by different implementations of the speckle tracking. [Figure: see text]
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spelling pubmed-72117892020-05-13 An optimisation-based iterative approach for speckle tracking echocardiography Azarmehr, Neda Ye, Xujiong Howes, Joseph D. Docking, Benjamin Howard, James P. Francis, Darrel P. Zolgharni, Massoud Med Biol Eng Comput Original Article Speckle tracking is the most prominent technique used to estimate the regional movement of the heart based on echocardiograms. In this study, we propose an optimised-based block matching algorithm to perform speckle tracking iteratively. The proposed technique was evaluated using a publicly available synthetic echocardiographic dataset with known ground-truth from several major vendors and for healthy/ischaemic cases. The results were compared with the results from the classic (standard) two-dimensional block matching. The proposed method presented an average displacement error of 0.57 pixels, while classic block matching provided an average error of 1.15 pixels. When estimating the segmental/regional longitudinal strain in healthy cases, the proposed method, with an average of 0.32 ± 0.53, outperformed the classic counterpart, with an average of 3.43 ± 2.84. A similar superior performance was observed in ischaemic cases. This method does not require any additional ad hoc filtering process. Therefore, it can potentially help to reduce the variability in the strain measurements caused by various post-processing techniques applied by different implementations of the speckle tracking. [Figure: see text] Springer Berlin Heidelberg 2020-04-07 2020 /pmc/articles/PMC7211789/ /pubmed/32253607 http://dx.doi.org/10.1007/s11517-020-02142-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Azarmehr, Neda
Ye, Xujiong
Howes, Joseph D.
Docking, Benjamin
Howard, James P.
Francis, Darrel P.
Zolgharni, Massoud
An optimisation-based iterative approach for speckle tracking echocardiography
title An optimisation-based iterative approach for speckle tracking echocardiography
title_full An optimisation-based iterative approach for speckle tracking echocardiography
title_fullStr An optimisation-based iterative approach for speckle tracking echocardiography
title_full_unstemmed An optimisation-based iterative approach for speckle tracking echocardiography
title_short An optimisation-based iterative approach for speckle tracking echocardiography
title_sort optimisation-based iterative approach for speckle tracking echocardiography
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211789/
https://www.ncbi.nlm.nih.gov/pubmed/32253607
http://dx.doi.org/10.1007/s11517-020-02142-8
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