Detailed Evaluation of Five 3D Speckle Tracking Algorithms using Synthetic Echocardiographic Recordings

Martino Alessandrini , Heyde Brecht , Queirós Sandro , Szymon Cygan , Zontak Maria , Somphone Oudom , Olivier Bernard , Maxime Sermesant , Hervé Delingette , Daniel Barbosa , Mathieu De Craene , Matthew O'Donnell , Jan D'hooge

Abstract

A plethora of techniques for cardiac deformation imaging with 3D ultrasound, typically referred to as 3D speckle tracking techniques, are available from academia and industry. Although the benefits of single methods over alternative ones have been reported in separate publications, the intrinsic differences in the data and definitions used makes it hard to compare the relative performance of different solutions. To address this issue, we have recently proposed a framework to simulate realistic 3D echocardiographic recordings and used it to generate a common set of ground-truth data for 3D speckle tracking algorithms, which was made available online. The aim of this study was therefore to use the newly developed database to contrast non-commercial speckle tracking solutions from research groups with leading expertise in the field. The five techniques involved cover the most representative families of existing approaches, namely block-matching, radio-frequency tracking, optical flow and elastic image registration. The techniques were contrasted in terms of tracking and strain accuracy. The feasibility of the obtained strain measurements to diagnose pathology was also tested for ischemia and dyssynchrony.
Author Martino Alessandrini - University of Leuven, Belgium
Martino Alessandrini,,
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, Heyde Brecht - University of Leuven, Belgium
Heyde Brecht,,
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, Queirós Sandro - University of Minho, Portugal
Queirós Sandro,,
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, Szymon Cygan IMIB
Szymon Cygan,,
- The Institute of Metrology and Biomedical Engineering
, Zontak Maria - University of Washington, USA
Zontak Maria,,
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, Somphone Oudom - Medisys, Philips Research, Suresnes, France
Somphone Oudom,,
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, Olivier Bernard - Université de Lyon
Olivier Bernard,,
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, Maxime Sermesant - Inria-Asclepios Project, Sophia Antipolis, France
Maxime Sermesant,,
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, Hervé Delingette - Inria-Asclepios Project, Sophia Antipolis, France
Hervé Delingette,,
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, Daniel Barbosa - ICVS/3Bs – PT Government Associate Laboratory, Braga/Guimarães, Portugal
Daniel Barbosa,,
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et al.`
Journal seriesIEEE Transactions on Medical Imaging, ISSN 0278-0062
Issue year2016
VolPP
No99
Pages1915-1926
Publication size in sheets0.55
Keywords in English3D echocardiography cardiac strain quality assurance speckle tracking standardization synthetic datasets
DOIDOI:10.1109/TMI.2016.2537848
URL http://ieeexplore.ieee.org/xpl/login.jsp?reload=true&tp=&arnumber=7425261&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7425261
Languageen angielski
Score (nominal)45
ScoreMinisterial score = 40.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 45.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 3.942 (2) - 2016=4.479 (5)
Citation count*14 (2018-06-13)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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