Azarmehr, Neda, Ye, Xujiong, Howes, Joseph D., Docking, Benjamin, Howard, James P., Francis, Darrel P. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2020) An optimisation-based iterative approach for speckle tracking echocardiography. Medical & Biological Engineering & Computing, 58 (6). pp. 1309-1323. ISSN 0140-0118

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Abstract

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.

Item Type:	Article
Identifier:	10.1007/s11517-020-02142-8
Additional Information:	N.A. was supported by the School of Computer Science PhD scholarship at the University of Lincoln, UK. MZ was supported by the British Heart Foundation (BHF) Project Grant(PG/19/78/34733).
Keywords:	Strain imaging, Speckle tracking echocardiography, Myocardial deformation, Echocardiography
Subjects:	Computing > Intelligent systems Medicine and health > Clinical medicine > Clinical care
Depositing User:	Massoud Zolgharni
Date Deposited:	07 Apr 2020 10:53
Last Modified:	04 Nov 2024 11:50
URI:	https://repository.uwl.ac.uk/id/eprint/6851

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