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

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          Current and evolving echocardiographic techniques for the quantitative evaluation of cardiac mechanics: ASE/EAE consensus statement on methodology and indications endorsed by the Japanese Society of Echocardiography.

          Victor Mor-Avi, Roberto Lang, Luigi Badano … (2011)
          Echocardiographic imaging is ideally suited for the evaluation of cardiac mechanics because of its intrinsically dynamic nature. Because for decades, echocardiography has been the only imaging modality that allows dynamic imaging of the heart, it is only natural that new, increasingly automated techniques for sophisticated analysis of cardiac mechanics have been driven by researchers and manufacturers of ultrasound imaging equipment.Several such technique shave emerged over the past decades to address the issue of reader's experience and inter measurement variability in interpretation.Some were widely embraced by echocardiographers around the world and became part of the clinical routine,whereas others remained limited to research and exploration of new clinical applications.Two such techniques have dominated the research arena of echocardiography: (1) Doppler based tissue velocity measurements,frequently referred to as tissue Doppler or myocardial Doppler, and (2) speckle tracking on the basis of displacement measurements.Both types of measurements lend themselves to the derivation of multiple parameters of myocardial function. The goal of this document is to focus on the currently available techniques that allow quantitative assessment of myocardial function via image-based analysis of local myocardial dynamics, including Doppler tissue imaging and speckle-tracking echocardiography, as well as integrated backscatter analysis. This document describes the current and potential clinical applications of these techniques and their strengths and weaknesses,briefly surveys a selection of the relevant published literature while highlighting normal and abnormal findings in the context of different cardiovascular pathologies, and summarizes the unresolved issues, future research priorities, and recommended indications for clinical use.
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            Practical Guidance in Echocardiographic Assessment of Global Longitudinal Strain

            Koji Kurosawa, Krasimira Hristova, Bogdan Popescu … (2015)
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              Current state of three-dimensional myocardial strain estimation using echocardiography.

              J Heyde, Jan D’hooge, R Jasaityte (2012)
              With the developments in ultrasound transducer technology and both hardware and software computing, real-time volumetric imaging has become widely available, accompanied by various methods of assessing three-dimensional (3D) myocardial strain, often referred to as 3D speckle-tracking echocardiographic methods. Indeed, these methods should provide cardiologists with a better view of regional myocardial mechanics, which might be important for diagnosis, prognosis, and therapy. However, currently available 3D speckle-tracking echocardiographic methods are based on different algorithms, which introduce substantial differences between them and make them not interchangeable with each other. Therefore, it is critical that each 3D speckle-tracking echocardiographic method is validated individually before being introduced into clinical practice. In this review, the authors discuss differences and similarities of the currently available 3D strain estimation approaches and provide an overview of the current status of their validation. Copyright © 2013 American Society of Echocardiography. All rights reserved.
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                Author and article information

                Journal
                Title: IEEE Transactions on Medical Imaging
                Abbreviated Title: IEEE Trans. Med. Imaging
                Publisher: Institute of Electrical and Electronics Engineers (IEEE)
                ISSN (Print): 0278-0062
                ISSN (Electronic): 1558-254X
                Publication date Created: August 2016
                Publication date (Print): August 2016
                Volume: 35
                Issue: 8
                Pages: 1915-1926
                Article
                DOI: 10.1109/TMI.2016.2537848
                PubMed ID: 26960220
                SO-VID: a02628e4-d92e-4788-a338-6416309bdef5
                Copyright © © 2016
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