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

Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

833
Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
833

You might also read

Related Articles

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

Sort by
Same author

Bayesian-enhanced closed-loop optimization of ultrasound protocols for targeted and precise neuromodulation.

bioRxiv : the preprint server for biology·2026
Same author

Quantification Beyond Binary of MR FLAIR Hyperintensity Lesions in Acute Ischemic Stroke of Unknown Time Since Onset.

Diagnostics (Basel, Switzerland)·2026
Same author

Ultrasound-Based Techniques for Visualization of Dermal Microvasculature: A Scoping Review.

Diagnostics (Basel, Switzerland)·2026
Same author

The European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB): EFSUMB Position Statement on Live Ultrasound Scanning (update 2026).

Ultraschall in der Medizin (Stuttgart, Germany : 1980)·2026
Same author

First Clinical Experiences with the Ultra-Fast Time-of-Flight BIOGRAPH One Next-Generation Hybrid PET/MRI System.

Diagnostics (Basel, Switzerland)·2026
Same author

Empirical limitations of current low-intensity focused ultrasound simulation platforms.

medRxiv : the preprint server for health sciences·2026
Same journal

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Practical Demonstrations of FR3-Band Thin-Film Lithium Niobate Acoustic Filter Design.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Real-Time Heterogeneous Helical Wave Spectrum Method for Transabdominal Passive Acoustic Mapping.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Cascaded Plane Wave Ultrasound Velocity Vector Imaging: In Vivo Feasibility in Carotid Arteries.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Quantitative Acoustic Attenuation Scanning Using a Phase-Insensitive Ultrasound Computed Tomography System.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

FPGA-Accelerated CNN Reconstruction for Low-Power Sparse-Array Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
See all related articles

Related Experiment Video

Updated: Feb 24, 2026

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

8.6K

A Vector Flow Imaging Method for Portable Ultrasound Using Synthetic Aperture Sequential Beamforming.

Tommaso Di Ianni, Carlos Armando Villagomez Hoyos, Caroline Ewertsen

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |August 26, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new vector flow imaging technique for portable ultrasound, enabling continuous blood flow velocity estimation. The method achieves high accuracy in both lateral and axial directions, demonstrating real-time capabilities for clinical applications.

    More Related Videos

    Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound
    07:29

    Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound

    Published on: October 4, 2021

    2.9K
    Determining 3D Flow Fields via Multi-camera Light Field Imaging
    14:25

    Determining 3D Flow Fields via Multi-camera Light Field Imaging

    Published on: March 6, 2013

    17.2K

    Related Experiment Videos

    Last Updated: Feb 24, 2026

    Blood Flow Imaging with Ultrafast Doppler
    05:57

    Blood Flow Imaging with Ultrafast Doppler

    Published on: October 14, 2020

    8.6K
    Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound
    07:29

    Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound

    Published on: October 4, 2021

    2.9K
    Determining 3D Flow Fields via Multi-camera Light Field Imaging
    14:25

    Determining 3D Flow Fields via Multi-camera Light Field Imaging

    Published on: March 6, 2013

    17.2K

    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Biomedical Engineering

    Background:

    • Quantitative blood flow imaging is crucial for diagnosing vascular diseases.
    • Current portable ultrasound systems have limitations in providing comprehensive flow data.
    • Integrating advanced flow imaging into portable devices is a significant technological challenge.

    Purpose of the Study:

    • To present a novel vector flow imaging method for portable ultrasound systems.
    • To enable continuous, quantitative blood flow velocity estimation across the entire imaging region.
    • To demonstrate the feasibility of real-time processing and wireless transmission for clinical use.

    Main Methods:

    • The method combines directional transverse oscillation (TO) and synthetic aperture sequential beamforming.
    • A dual-stage beamforming approach reduces data throughput requirements.
    • Velocity estimation is performed using a phase-shift estimator on high-resolution images.

    Main Results:

    • Accurate velocity estimation was achieved with low bias and standard deviation in flow rig measurements.
    • Lateral velocity bias ranged from -5% to -6.2%, with SDs of 6%-9.6%.
    • Axial velocity bias was below 1% with an SD around 2%; real-time processing achieved 27 frames/s.

    Conclusions:

    • The developed vector flow imaging method is suitable for integration into portable ultrasound systems.
    • The technique provides accurate and continuous blood flow velocity measurements.
    • Successful in vivo demonstration suggests significant potential for clinical vascular assessment.