Frame rate required for speckle tracking echocardiography: A quantitative clinical study with open-source, vendor-independent software
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Accepted version
Author(s)
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.
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.
Date Issued
2016-05-14
Date Acceptance
2016-05-12
Citation
International Journal of Cardiology, 2016, 218, pp.31-36
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 http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
British Heart Foundation
British Heart Foundation
Grant Number
FS/10/38/28268
FS/12/12/29294
Subjects
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Speckle tracking
Frame rate
Myocardial velocity
Sampling frequency
Tissue velocity imaging
STRAIN
HEART
Adult
Aged
Aged, 80 and over
Echocardiography
Female
Heart Rate
Humans
Image Interpretation, Computer-Assisted
Male
Middle Aged
Software
Time Factors
1102 Cardiovascular Medicine And Haematology
Cardiovascular System & Hematology
Publication Status
Published