Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion, evaluates...
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...

You might also read

Related Articles

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

Sort by
Same author

From Scarcity to Synthesis: Continual Learning Integrates Supervised and Unsupervised CT Image Recovery Models.

IEEE journal of biomedical and health informatics·2026
Same author

Quantitative Ultrasound Imaging of Bone: Anatomical Images, Tissue Structural Quality, and Pulsatile Blood Flow.

IEEE transactions on medical imaging·2026
Same author

Assessing cerebral capillary function and stalling using single capillary reporters in ultrasound localization microscopy.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

SMART: Self-Supervised Learning for Metal Artifact Reduction in Computed Tomography Using Range Null Space Decomposition.

IEEE transactions on medical imaging·2025
Same author

3D Transcranial Dynamic Ultrasound Localization Microscopy in the Mouse Brain Using a Row-Column Array.

IEEE transactions on bio-medical engineering·2025
Same author

Multiparametric ultrasound evaluation of metabolic dysfunction-associated fatty liver disease in minipigs.

Ultrasound in medicine & biology·2025

Related Experiment Video

Updated: Jul 3, 2026

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Cardiac Natural Mechanical Wave Detection and Speed Estimation Using Deep Learning-Based 2-D Ultrasound Imaging: A

Corentin Alix1, Jingfeng Lu2, Fabien Millioz3

  • 1Centre de Résonance Magnétique des Systèmes Biologiques, Bordeaux, France.

Ultrasound in Medicine & Biology
|July 1, 2026
PubMed
Summary

Cardiac natural mechanical waves (NMWs) can now be detected and their speed estimated using deep learning compounded ultrasound data. This advancement offers a new method for assessing cardiac tissue properties and potential disease states.

Keywords:
Atrial kick waveDeep learningEchocardiographyNatural mechanical waves

More Related Videos

Ultrasound-based Pulse Wave Velocity Evaluation in Mice
08:07

Ultrasound-based Pulse Wave Velocity Evaluation in Mice

Published on: February 14, 2017

Related Experiment Videos

Last Updated: Jul 3, 2026

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Ultrasound-based Pulse Wave Velocity Evaluation in Mice
08:07

Ultrasound-based Pulse Wave Velocity Evaluation in Mice

Published on: February 14, 2017

Area of Science:

  • Cardiovascular Ultrasound
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Cardiac natural mechanical wave (NMW) propagation speed is crucial for evaluating tissue mechanics and disease.
  • Accurate NMW estimation requires high frame rates (above 800 fps), which can compromise image quality.
  • Deep learning networks can improve image quality by compounding high-frame rate ultrasound data.

Purpose of the Study:

  • To demonstrate the detection of NMWs on deep learning compounded (DLC) ultrasound data.
  • To validate the accurate estimation of NMW speed from DLC data.
  • To explore the potential of DLC in cardiac mechanical assessment.

Main Methods:

  • Utilized clutter filter wave imaging and spatiotemporal gradient analysis on DLC data.
  • Tracked NMWs and estimated their time of flight.
  • Evaluated wave speed in four healthy volunteers across different myocardial regions.

Main Results:

  • Successfully detected the atrial kick wave in all four volunteers' DLC data.
  • Estimated atrial kick wave speed between 1-2 m/s.
  • Highlighted differences in wave speed distribution compared to traditional coherent compounding.

Conclusions:

  • NMW detection and speed estimation are feasible with deep learning-based ultrasound imaging.
  • This technique shows promise for robust NMW analysis.
  • Further neural network optimization can enhance temporal information preservation and NMW detection accuracy.