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Related Experiment Video

Updated: Mar 15, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
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High-Frame-Rate Deformation Imaging in Two Dimensions Using Continuous Speckle-Feature Tracking.

Martin V Andersen1, Cooper Moore2, Kristine Arges3

  • 1Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.

Ultrasound in Medicine & Biology
|September 6, 2016
PubMed
Summary

This study introduces a new algorithm for measuring myocardial strain using high-frame-rate ultrasound, improving accuracy and temporal resolution for better cardiac assessments.

Keywords:
AlgorithmDeformation imagingEchocardiologyFeatureFeature trackingHigh frame rateSpeckleSpeckle trackingStrainUltrasound

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Last Updated: Mar 15, 2026

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Accurate myocardial strain analysis is crucial for diagnosing cardiac conditions.
  • Conventional ultrasound methods have limitations in temporal resolution for capturing the full cardiac cycle.
  • High-frame-rate ultrasound offers potential for enhanced cardiac imaging.

Purpose of the Study:

  • To develop and validate a novel algorithm for deriving myocardial strain from high-frame-rate ultrasound (HFR-US) images.
  • To assess the feasibility of applying this algorithm to in vivo patient data.
  • To compare the characteristics of strain curves derived from HFR-US with conventional methods.

Main Methods:

  • A new tracking algorithm was developed for myocardial strain analysis.
  • The algorithm was initially validated using in vitro experiments.
  • High-frame-rate ultrasound images were acquired in vivo from 10 patients.
  • Strain curves were calculated for six regions of the left ventricle from the apical four-chamber view.

Main Results:

  • The developed algorithm successfully derived myocardial strain from HFR-US images.
  • Strain curves obtained from HFR-US exhibited higher frequency content compared to conventional methods.
  • This indicates improved temporal sampling and more detailed capture of myocardial motion.

Conclusions:

  • The novel algorithm enables accurate myocardial strain derivation from HFR-US throughout the entire cardiac cycle.
  • HFR-US provides superior temporal resolution for strain analysis, offering valuable clinical insights.
  • This technique holds promise for enhanced diagnosis and monitoring of cardiovascular diseases.