Negoita, Madalina, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Dadkho, Elham, Pernigo, Matteo, Mielewczik, Michael, Cole, Graham D., Dhutia, Niti M. and Francis, Darrel P. (2016) Frame rate required for speckle tracking echocardiography: A quantitative clinical study with open-source, vendor-independent software. International Journal of Cardiology, 218. pp. 31-36. ISSN 01675273

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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.

Item Type:	Article
Identifier:	10.1016/j.ijcard.2016.05.047
Keywords:	Speckle tracking, Frame rateMyocardial velocity, Sampling frequency, Tissue velocity imaging
Subjects:	Computing Medicine and health
Related URLs:	Publisher
Depositing User:	Massoud Zolgharni
Date Deposited:	11 Dec 2018 16:48
Last Modified:	06 Feb 2024 15:59
URI:	https://repository.uwl.ac.uk/id/eprint/5647

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