Frame rate required for speckle tracking echocardiography: A quantitative clinical study with open-source, vendor-independent software

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Title: Frame rate required for speckle tracking echocardiography: A quantitative clinical study with open-source, vendor-independent software
Authors: Negoita, M
Zolgharni, M
Dadkho, E
Pernigo, M
Mielewczik, M
Cole, GD
Dhutia, NM
Francis, DP
Item Type: Journal Article
Abstract: Objectives To determine the optimal frame rate at which reliable heart walls velocities can be assessed by speckle tracking. Background Assessing left ventricular function with speckle tracking is useful in patient diagnosis but requires a temporal resolution that can follow myocardial motion. In this study we investigated the effect of different frame rates on the accuracy of speckle tracking results, highlighting the temporal resolution where reliable results can be obtained. Material and methods 27 patients were scanned at two different frame rates at their resting heart rate. From all acquired loops, lower temporal resolution image sequences were generated by dropping frames, decreasing the frame rate by up to 10-fold. Results Tissue velocities were estimated by automated speckle tracking. Above 40 frames/s the peak velocity was reliably measured. When frame rate was lower, the inter-frame interval containing the instant of highest velocity also contained lower velocities, and therefore the average velocity in that interval was an underestimate of the clinically desired instantaneous maximum velocity. Conclusions The higher the frame rate, the more accurately maximum velocities are identified by speckle tracking, until the frame rate drops below 40 frames/s, beyond which there is little increase in peak velocity. We provide in an online supplement the vendor-independent software we used for automatic speckle-tracked velocity assessment to help others working in this field.
Issue Date: 14-May-2016
Date of Acceptance: 12-May-2016
ISSN: 1874-1754
Publisher: Elsevier
Start Page: 31
End Page: 36
Journal / Book Title: International Journal of Cardiology
Volume: 218
Copyright Statement: © 2016 Elsevier Ireland Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence
Sponsor/Funder: British Heart Foundation
British Heart Foundation
Funder's Grant Number: FS/10/38/28268
Keywords: Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Speckle tracking
Frame rate
Myocardial velocity
Sampling frequency
Tissue velocity imaging
Aged, 80 and over
Heart Rate
Image Interpretation, Computer-Assisted
Middle Aged
Time Factors
1102 Cardiovascular Medicine And Haematology
Cardiovascular System & Hematology
Publication Status: Published
Appears in Collections:Faculty of Engineering
National Heart and Lung Institute

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