Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ultrasonography

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...

You might also read

Related Articles

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

Sort by

Same author

Time-reversal-based ultrasonic non-destructive evaluation using convolutional neural networks.

Ultrasonics·2026

Same author

Detection of GI-11 South American Lineage Infectious Bronchitis Virus in a Native Chicken Farm in the Republic of Korea, 2011.

Avian diseases·2026

Same author

Efficacy of dual administration vaccine of recombinant Newcastle disease virus expressing clade 2.3.4.4b H5 hemagglutinin against H5N1 highly pathogenic avian influenza and viscerotropic Velogenic Newcastle disease virus in broilers.

Vaccine·2026

Same author

Staphylococcus Enrichment in Cutaneous Melanoma.

The Journal of dermatology·2025

Same author

The Arabidopsis neutral amino acid transporter UmamiT20 confers Botrytis cinerea susceptibility.

Journal of experimental botany·2025

Same author

Detection of H9N2 Avian Influenza Virus in commercial raw meat-based diets for dogs and cats in South Korea.

Veterinary microbiology·2025

Search research articles

Related Experiment Video

Updated: Aug 10, 2025

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

Published on: November 4, 2014

Optimal Transducer Placement for Deep Learning-Based Non-Destructive Evaluation.

Ji-Yun Kim¹, Je-Heon Han¹

¹Department of Mechanical Engineering, Tech University of Korea, Siheung-si 15073, Republic of Korea.

Sensors (Basel, Switzerland)

|February 11, 2023

Summary

Convolution Neural Network (CNN) deep learning accurately classifies aluminum panel defects using ultrasonic Lamb waves. This non-destructive evaluation method shows high accuracy even with attached bars, improving structural integrity assessments.

Keywords:

CNN deep learning lamb waves non-destructive evaluation transducer array

More Related Videos

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Published on: March 2, 2015

Related Experiment Videos

Last Updated: Aug 10, 2025

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

Published on: November 4, 2014

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Published on: March 2, 2015

Area of Science:

Materials Science
Non-Destructive Testing
Artificial Intelligence

Background:

Non-destructive evaluation (NDE) is crucial for assessing material integrity.
Ultrasonic Lamb waves are effective for detecting defects in thin structures like aluminum panels.
Deep learning offers potential for advanced signal analysis in NDE.

Purpose of the Study:

To apply Convolution Neural Network (CNN) for non-destructive evaluation of aluminum panels.
To develop a method for classifying defect locations using ultrasonic Lamb waves and deep learning.
To optimize sensor and excitation parameters for enhanced defect detection performance.

Main Methods:

Exciting aluminum panels to generate ultrasonic Lamb waves.
Acquiring data using a sensor array to capture reflected waves.
Employing deep learning, specifically CNN, to analyze 2D imaged wave characteristics.
Collecting experimental data with variations in excitation frequency and defect location for model robustness.

Main Results:

High classification accuracy achieved for identifying defect locations.
The CNN model demonstrated effectiveness even when a bar was attached to the panel.
Optimal excitation and sensor locations were investigated to improve performance.

Conclusions:

The proposed CNN-based approach is a highly accurate method for non-destructive evaluation of aluminum panels.
This technique shows robustness and adaptability in complex scenarios, including the presence of attached components.
Deep learning significantly enhances the capability of ultrasonic Lamb wave testing for defect localization.