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

Computed Tomography01:10

Computed Tomography

4.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.6K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

30
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
30

You might also read

Related Articles

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

Sort by
Same author

High-fidelity three-dimensional reconstruction of musculoskeletal tissues via diffusion based ultrasonic computed tomography.

Medical image analysis·2026
Same author

Therapeutic targets for diabetic nephropathy identified by druggable genome mendelian randomization: the role of the gut microbiota-metabolite axis.

Frontiers in endocrinology·2026
Same author

Identification of novel covalent ligands that disrupt Acetyl-Lysine binding to the SETDB1 tudor domain.

Biochemical and biophysical research communications·2026
Same author

Region-Adaptive Null Subtraction Imaging Using Generalized Coherence Factor for Coherent Plane Wave Compounding.

Ultrasonic imaging·2026
Same author

Telerehabilitation of chronic low back pain: protocol of a systematic review and network meta-analysis.

Systematic reviews·2026
Same author

<i>Ganoderma lucidum</i> Triterpenoids Suppress Adipogenesis and Obesity via PRKCQ Activation: An Integrated In Vivo, In Vitro, and Systems Pharmacology Study.

Foods (Basel, Switzerland)·2026
Same journal

Grain size evaluation in polycrystalline materials using the interference effect of bounded ultrasonic beams at the Rayleigh critical angle.

Ultrasonics·2026
Same journal

Ultrasonic characterization of functionally graded materials using a continuously graded model and spectral inversion.

Ultrasonics·2026
Same journal

Frequency-wavenumber domain inversion for arterial viscoelasticity.

Ultrasonics·2026
Same journal

Pressure- and frequency-dependent acoustic behavior of second-generation acoustic reporter genes-expressing bacteria for optimized ultrasound imaging.

Ultrasonics·2026
Same journal

Laser ultrasonic detection for strut defects in additively manufactured lattice structure using zero-group-velocity Lamb waves.

Ultrasonics·2026
Same journal

A hemispherical bubble induced by ultrasonic vibration observed by high-speed X-ray imaging.

Ultrasonics·2026
See all related articles

Related Experiment Video

Updated: Jul 29, 2025

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

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

Published on: January 31, 2025

555

Full waveform inversion guided wave tomography with a recurrent neural network.

Zijian Wang1, Jingyi Xiao1, Dan Li2

  • 1School of Information Science and Technology, Fudan University, Shanghai, China.

Ultrasonics
|May 22, 2023
PubMed
Summary
This summary is machine-generated.

A new ultrasonic guided wave tomography method, Recurrent Neural Network-Full Waveform Inversion (RNN-FWI), enhances corrosion detection in plate structures. This advanced technique improves accuracy and reliability for non-destructive testing (NDT) and remaining life assessments.

Keywords:
Full waveform inversion (FWI)Guided wave tomographyRecurrent neural network

More Related Videos

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

9.0K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.5K

Related Experiment Videos

Last Updated: Jul 29, 2025

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

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

Published on: January 31, 2025

555
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

9.0K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.5K

Area of Science:

  • Materials Science
  • Engineering
  • Signal Processing

Background:

  • Quantitative corrosion detection is vital for assessing the remaining life of plate-like structures in industrial Non-Destructive Testing (NDT).
  • Traditional methods face limitations in accuracy and robustness for complex material degradation assessments.

Purpose of the Study:

  • To introduce a novel Recurrent Neural Network-Full Waveform Inversion (RNN-FWI) method for ultrasonic guided wave tomography.
  • To enhance the quantitative detection of corrosion in plate or plate-like structures.

Main Methods:

  • The proposed RNN-FWI method integrates Recurrent Neural Networks (RNNs) into Full Waveform Inversion (FWI) to solve acoustic wave equations.
  • It utilizes iterative waveform misfit minimization with quadratic Wasserstein distance, automatic differentiation for gradient calculation, and the Adam algorithm for parameter updates.
  • U-Net deep image prior (DIP) is employed for velocity model regularization.

Main Results:

  • The RNN-FWI method demonstrates improved convergence rate, reduced initial model dependency, and enhanced robustness compared to conventional time-domain FWI.
  • Accurate thickness maps of materials are generated by analyzing guided wave dispersion characteristics.
  • Both numerical simulations and experimental results validate the method's superior performance.

Conclusions:

  • The developed RNN-FWI tomography method offers a significant advancement in the non-destructive testing of plate-like structures.
  • It provides a more reliable and efficient approach for corrosion quantitative detection and remaining life assessment in industrial applications.