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 II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
Ultrasonography01:17

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 a...

You might also read

Related Articles

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

Sort by
Same author

Robust Ellipse Fitting Based on Maximum Correntropy Criterion With Variable Center.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
Same author

Approaches to characterizing oscillatory burst detection algorithms for electrophysiological recordings.

Journal of neuroscience methods·2023
Same author

Classification of Brainwaves Using Convolutional Neural Network.

Proceedings of the ... European Signal Processing Conference (EUSIPCO). EUSIPCO (Conference)·2022
Same author

Non-Invasive Heart Rate Estimation From Ballistocardiograms Using Bidirectional LSTM Regression.

IEEE journal of biomedical and health informatics·2021
Same author

Robust Ellipse Fitting With Laplacian Kernel Based Maximum Correntropy Criterion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same author

Life cycle assessment (LCA) of electrically-enhanced POME filtration: Environmental impacts of conductive-membrane formulation and process operating parameters.

Journal of environmental management·2020

Related Experiment Video

Updated: Jul 10, 2026

Echo Particle Image Velocimetry
16:31

Echo Particle Image Velocimetry

Published on: December 27, 2012

Spatial correlation coefficient images for ultrasonic detection.

Raina Cepel1, K C Ho, Brett A Rinker

  • 1Department of Electrical and Computer Engineering, University of Missouri-Columbia, Columbia, MO 65211, USA.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|October 19, 2007
PubMed
Summary
This summary is machine-generated.

This study introduces correlation coefficient images for ultrasonic testing, offering an amplitude-independent method for defect detection. This novel approach enhances flaw visualization in materials like steel and aluminum.

More Related Videos

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
06:51

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy

Published on: August 2, 2018

2D and 3D Echocardiography in the Axolotl (Ambystoma Mexicanum)
09:53

2D and 3D Echocardiography in the Axolotl (Ambystoma Mexicanum)

Published on: November 29, 2018

Related Experiment Videos

Last Updated: Jul 10, 2026

Echo Particle Image Velocimetry
16:31

Echo Particle Image Velocimetry

Published on: December 27, 2012

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
06:51

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy

Published on: August 2, 2018

2D and 3D Echocardiography in the Axolotl (Ambystoma Mexicanum)
09:53

2D and 3D Echocardiography in the Axolotl (Ambystoma Mexicanum)

Published on: November 29, 2018

Area of Science:

  • Ultrasonic Testing and Non-Destructive Evaluation
  • Materials Science and Engineering
  • Signal Processing and Image Analysis

Background:

  • Traditional ultrasonic imaging relies on signal amplitude, which can be influenced by material properties and surface conditions.
  • Limitations in amplitude-based methods can hinder accurate defect detection and characterization in complex structures.
  • A need exists for alternative imaging techniques that are less sensitive to signal amplitude variations.

Purpose of the Study:

  • To introduce and evaluate correlation coefficient images as a novel, amplitude-independent approach for ultrasonic image formation.
  • To demonstrate the efficacy of correlation coefficient imaging in detecting defects such as flat-bottom holes and cracks.
  • To compare the performance of correlation coefficient images with conventional C-scan images.

Main Methods:

  • Calculation of correlation coefficients between digitized A-scans from adjacent measurement positions.
  • Generation of correlation coefficient images highlighting regions of varying correlation.
  • Application of the technique to detect flat-bottom holes in a stainless steel annular ring and cracks in an aluminum aircraft structure.

Main Results:

  • Correlation coefficient images reveal defects as distinct regions of high or low correlation.
  • This method provides an alternative to amplitude-based imaging, showing improved defect visualization.
  • Successful detection of flat-bottom holes and cracks was demonstrated in the tested materials.

Conclusions:

  • Correlation coefficient imaging offers a robust, amplitude-independent alternative for ultrasonic defect detection.
  • The technique effectively visualizes flaws by analyzing signal correlation, complementing traditional methods.
  • This approach shows significant potential for non-destructive testing applications in aerospace and materials engineering.