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

Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

879
Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
879
Colors and Magnetism03:02

Colors and Magnetism

14.1K
Color in Coordination Complexes
When atoms or molecules absorb light at the proper frequency, their electrons are excited to higher-energy orbitals. For many main group atoms and molecules, the absorbed photons are in the ultraviolet range of the electromagnetic spectrum, which cannot be detected by the human eye. For coordination compounds, the energy difference between the d orbitals often allows photons in the visible range to be absorbed and emitted, which is seen as colors by the human...
14.1K
Color Vision01:24

Color Vision

1.5K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.5K
Parallel Resonance01:23

Parallel Resonance

581
The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
581
Parallel Processing01:20

Parallel Processing

733
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
733
Resistors In Parallel01:23

Resistors In Parallel

6.4K
Resistors are in parallel when one end of all the resistors are connected to a continuous wire of negligible resistance and the other end of all the resistors are also connected to one another through a continuous wire of negligible resistance. In the case of a parallel configuration, the potential drop across each resistor is the same. Current through each resistor can be found using Ohm’s law, I = V/R, where the voltage is constant across each resistor. The sum of the individual currents...
6.4K

You might also read

Related Articles

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

Sort by
Same author

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

Ultrasound in medicine & biology·2026
Same author

Left Atrial Strain, Amy-Lyon, and Columbia Scores to Predict Atrial Fibrillation in Cardiac Amyloidosis.

JACC. Advances·2026
Same author

Heart heard in motion.

The Journal of the Acoustical Society of America·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

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

IEEE transactions on bio-medical engineering·2025
Same author

Lung Ultrasound Elastography: New Tools to Personalize Mechanical Ventilation.

American journal of respiratory and critical care medicine·2025

Related Experiment Video

Updated: Feb 8, 2026

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

CColor and Vector Flow Imaging in Parallel Ultrasound with Sub-Nyquist Sampling.

Craig Madiena, Julia Faurie, Jonathan Poree

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |July 12, 2018
    PubMed
    Summary

    RF undersampling significantly reduces data volume in ultrasound imaging for color flow imaging (CFI) and vector flow imaging (VFI). This method allows for accurate Doppler and vector Doppler image computation with minimal error, easing data management.

    More Related Videos

    Point of Care Transcranial Color-Coded Duplex Ultrasound of the Middle Cerebral Artery
    04:01

    Point of Care Transcranial Color-Coded Duplex Ultrasound of the Middle Cerebral Artery

    Published on: August 9, 2024

    2.0K
    Murine Echocardiography and Ultrasound Imaging
    09:00

    Murine Echocardiography and Ultrasound Imaging

    Published on: August 8, 2010

    37.4K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    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
    Point of Care Transcranial Color-Coded Duplex Ultrasound of the Middle Cerebral Artery
    04:01

    Point of Care Transcranial Color-Coded Duplex Ultrasound of the Middle Cerebral Artery

    Published on: August 9, 2024

    2.0K
    Murine Echocardiography and Ultrasound Imaging
    09:00

    Murine Echocardiography and Ultrasound Imaging

    Published on: August 8, 2010

    37.4K

    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Signal Processing

    Background:

    • High-performance ultrasound systems, especially in ultrafast imaging, generate massive RF datasets.
    • Nyquist-Shannon sampling theorem dictates sampling at twice the carrier frequency, simplifying quadrature sampling but increasing data volume.
    • Digital receive beamforming in ultrafast ultrasound necessitates efficient data handling.

    Purpose of the Study:

    • To investigate the efficacy of RF undersampling (bandpass sampling) in reducing data volume for color flow imaging (CFI) and vector flow imaging (VFI).
    • To compare the performance of Nyquist and sub-Nyquist sampling in CFI and VFI.
    • To assess the impact of undersampling on image quality and estimation errors.

    Main Methods:

    • RF undersampling was applied to color flow imaging (CFI) and vector flow imaging (VFI) acquisition.
    • Data volume reduction factors ranging from 3 to 13 were achieved with undersampling.
    • In vitro and in vivo studies compared Nyquist and sub-Nyquist sampling techniques.

    Main Results:

    • RF undersampling significantly decreased data volume in CFI and VFI.
    • Estimation errors introduced by undersampling were found to be small or marginal.
    • Doppler and vector Doppler images were accurately computed using drastically reduced RF samples.

    Conclusions:

    • RF undersampling is a viable technique for reducing data volume in CFI and VFI.
    • This method mitigates information overload, data transfer, and storage challenges in ultrasound.
    • Undersampling offers a practical solution for efficient high-performance ultrasound imaging.