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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 6; pp. 1309 - 1324 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143136812&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143136812 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2020 vid: 58 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 143136812 143136812 NLM32253607 143136812 10.1007/s11517-020-02142-8 NLM32253607 143136812 ppf: 1309 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An optimisation-based iterative approach for speckle tracking echocardiography. aug: au: Azarmehr, Neda Ye, Xujiong Howes, Joseph D. Docking, Benjamin Howard, James P. Francis, Darrel P. Zolgharni, Massoud affil: School of Computer Science, University of Lincoln, Lincoln, UK sug: subj: Myocardial Ischemia Diagnosis Echocardiography Methods Diagnosis, Computer Assisted Methods Image Processing, Computer Assisted Methods Algorithms Resource Databases Human ab: 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. Graphical Abstract Standard block matching versus proposed iterative block matching approach. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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