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

Interference and Decay01:16

Interference and Decay

368
Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
368
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

348
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
348
Lagging Strand Synthesis01:59

Lagging Strand Synthesis

60.6K
During replication, the complementary strands in double-stranded DNA are synthesized at different rates. Replication first begins on the leading strand. Replication starts later, occurs more slowly, and proceeds discontinuously on the lagging strand.
There are several major differences between synthesis of the leading strand and synthesis of the lagging strand. 1) Leading strand synthesis happens in the direction of replication fork opening, whereas lagging strand synthesis happens in the...
60.6K
Lagging Strand Synthesis01:59

Lagging Strand Synthesis

16.0K
16.0K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K
Sound Waves: Interference00:53

Sound Waves: Interference

4.4K
Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
4.4K

You might also read

Related Articles

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

Sort by
Same author

Phase linear encoding in multi-line transmit imaging: Towards crosstalk artifact removal.

Ultrasonics·2026
Same author

Optical Tracking for Freehand Swept Synthetic Aperture Imaging.

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

Toward widespread use of virtual trials in medical imaging innovation and regulatory science.

Medical physics·2024
Same author

Spatial Ambiguity Correction in Coherence-Based Average Sound Speed Estimation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2024
Same author

Optimization of array encoding for ultrasound imaging.

Physics in medicine and biology·2024
Same author

In Vivo Demonstration of a Real-Time Temporal SNR Acoustic Output Adjustment Method.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2024
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: Dec 26, 2025

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

3.1K

Incoherent Clutter Suppression Using Lag-One Coherence.

Will Long, Nick Bottenus, Gregg E Trahey

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |March 7, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Lag-one spatial coherence adaptive normalization (LoSCAN) effectively suppresses acoustic clutter in ultrasound images. This novel method improves image quality and dynamic range without common artifacts, enhancing diagnostic accuracy.

    More Related Videos

    Measurement of Coherence Decay in GaMnAs Using Femtosecond Four-wave Mixing
    15:58

    Measurement of Coherence Decay in GaMnAs Using Femtosecond Four-wave Mixing

    Published on: December 3, 2013

    6.0K
    How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
    05:33

    How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

    Published on: September 8, 2021

    7.3K

    Related Experiment Videos

    Last Updated: Dec 26, 2025

    Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
    05:59

    Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

    Published on: October 6, 2023

    3.1K
    Measurement of Coherence Decay in GaMnAs Using Femtosecond Four-wave Mixing
    15:58

    Measurement of Coherence Decay in GaMnAs Using Femtosecond Four-wave Mixing

    Published on: December 3, 2013

    6.0K
    How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
    05:33

    How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

    Published on: September 8, 2021

    7.3K

    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Signal Processing

    Background:

    • Acoustic clutter and thermal noise degrade ultrasound image quality.
    • Decomposing beamsum output power into speckle and noise contributions is crucial.
    • Existing adaptive imaging methods often introduce artifacts.

    Purpose of the Study:

    • To introduce and evaluate a novel adaptive normalization method, LoSCAN.
    • To locally estimate and compensate for spatially incoherent clutter in ultrasound images.
    • To improve image quality and reduce artifacts in delay-and-sum (DAS) images.

    Main Methods:

    • Application of lag-one coherence (LOC) for clutter measurement.
    • Development and implementation of lag-one spatial coherence adaptive normalization (LoSCAN).
    • Compensation for spatially incoherent clutter in conventional DAS images.

    Main Results:

    • LoSCAN suppressed incoherent clutter, improving image quality and dynamic range by 10-15 dB in simulations.
    • Simulations showed restored native contrast, DAS-like speckle texture, and reduced focal dependence.
    • In vivo studies demonstrated increased generalized contrast-to-noise ratio (gCNR) across various image qualities.

    Conclusions:

    • LoSCAN effectively reduces acoustic clutter in ultrasound imaging.
    • The method enhances image quality and diagnostic parameters without significant artifacts.
    • LoSCAN offers a promising approach for adaptive ultrasound image optimization.