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

Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

773
Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
773

You might also read

Related Articles

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

Sort by
Same author

New findings on the incidence and management of CNS adverse reactions in ALK-positive NSCLC with lorlatinib treatment.

Discover oncology·2024
Same author

The prolyl isomerase FKBP11 is a secretory translocon accessory factor.

Molecular biology of the cell·2024
Same author

A microfluidic-based chemiluminescence biosensor for sensitive multiplex detection of exosomal microRNAs based on hybridization chain reaction.

Talanta·2024
Same author

A secreted fungal laccase targets the receptor kinase OsSRF3 to inhibit OsBAK1-OsSRF3-mediated immunity in rice.

Nature communications·2024
Same author

Genomic and immune heterogeneity of multiple synchronous lung adenocarcinoma at different developmental stages.

Nature communications·2024
Same author

High-Performance Stretchable Strain Sensors Based on Auxetic Fabrics for Human Motion Detection.

ACS applied materials & interfaces·2024
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026
Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026
Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: Mar 15, 2026

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
05:31

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

6.4K

High-contrast active cavitation imaging technique based on multiple bubble wavelet transform.

Shukuan Lu1, Shanshan Xu1, Runna Liu1

  • 1The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.

The Journal of the Acoustical Society of America
|September 3, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multiple bubble wavelet transform (MBWT) method to enhance cavitation imaging contrast. The MBWT method significantly improves signal-to-noise ratio in both free-field and tissue experiments compared to existing techniques.

More Related Videos

Studying Cavitation Enhanced Therapy
07:36

Studying Cavitation Enhanced Therapy

Published on: April 9, 2021

5.9K
Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
08:19

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System

Published on: May 9, 2021

2.8K

Related Experiment Videos

Last Updated: Mar 15, 2026

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
05:31

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

6.4K
Studying Cavitation Enhanced Therapy
07:36

Studying Cavitation Enhanced Therapy

Published on: April 9, 2021

5.9K
Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
08:19

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System

Published on: May 9, 2021

2.8K

Area of Science:

  • Medical Imaging
  • Acoustics
  • Biomedical Engineering

Background:

  • Cavitation detection is crucial in various medical applications.
  • Existing imaging techniques face limitations in contrast and signal-to-noise ratio.
  • Ultrafast active cavitation imaging requires advanced signal processing for optimal performance.

Purpose of the Study:

  • To develop and evaluate a novel Multiple Bubble Wavelet Transform (MBWT) method for enhanced cavitation detection contrast.
  • To improve the signal-to-noise ratio (SNR) of cavitation images using MBWT.
  • To compare the performance of MBWT against B-mode and Single Bubble Wavelet Transform (SBWT) methods.

Main Methods:

  • Developed a bubble wavelet using the modified Keller-Miksis equation, accounting for inter-bubble effects.
  • Employed a three-dimensional spatial model to simulate multiple bubble distributions.
  • Evaluated the impact of initial bubble radii, wavelet scale factor, bubble count, and inter-bubble distance on SNR.
  • Integrated two additional spatial models and cavitation bubble size distributions into the MBWT method.

Main Results:

  • In free-field experiments, MBWT improved average SNR by 7.16 ± 0.09 dB over B-mode and 3.14 ± 0.14 dB over SBWT.
  • In tissue experiments, MBWT enhanced the average cavitation-to-tissue ratio by 4.69 ± 0.25 dB over B-mode and 1.74 ± 0.29 dB over SBWT.

Conclusions:

  • The MBWT method offers a significant improvement in cavitation imaging contrast and SNR.
  • MBWT demonstrates superior performance compared to conventional B-mode and SBWT techniques.
  • This advanced method holds promise for more accurate and sensitive cavitation detection in biomedical applications.