Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Prognostic importance of septal deformation patterns and lateral wall function in patients with heart failure and left bundle branch block receiving cardiac resynchronization therapy.

European heart journal. Imaging methods and practice·2026

Same author

Pitfalls in the reporting of clinical events in unblinded device trials: analysing performance bias in the BIO|GUARD-MI trial.

Trials·2026

Same author

Long-Term Quality of Life in 1777 Persons With Hodgkin Lymphoma and 6166 Matched Comparators.

American journal of hematology·2026

Same author

Culture-Negative Infective Endocarditis in the Modern Diagnostic Era: Patient Characteristics and Heterogeneity in a Nationwide Cohort.

Journal of the American College of Cardiology·2026

Same author

Clinical Implications of False Lumen Thrombosis in Acute Type A Aortic Dissection.

The Annals of thoracic surgery·2026

Same author

Incorporation of lipoprotein(a) levels improves calibration of pre-test likelihood estimates of obstructive coronary artery disease.

European heart journal. Cardiovascular Imaging·2026

Search research articles

Related Experiment Video

Updated: Mar 15, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

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

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:

Algorithm Deformation imaging Echocardiology Feature Feature tracking High frame rate Speckle Speckle tracking Strain Ultrasound

More Related Videos

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Published on: August 5, 2009

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

Related Experiment Videos

Last Updated: Mar 15, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Published on: August 5, 2009

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

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.