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 Experiment Videos

Contrast-transfer efficiency for continuously varying tissue moduli: simulation and phantom validation.

F Kallel1, C D Prihoda, J Ophir

  • 1University of Texas Medical School, Department of Radiology, Ultrasonics Laboratory 6431 Fannin St., Houston, TX 77030, USA. Faouzi.Kallel@uth.tmc.edu

Ultrasound in Medicine & Biology
|August 31, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Elastography of beef muscle.

Meat science·2011
Same author

The use of elastography to measure quality characteristics of pork semimembranosus muscle.

Meat science·2011
Same author

The anti-inflammatory target A(3) adenosine receptor is over-expressed in rheumatoid arthritis, psoriasis and Crohn's disease.

Cellular immunology·2009
Same author

A deconvolution filter for improvement of time-delay estimation in elastography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008
Same author

An adaptive strain estimator for elastography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008
Same author

Multiresolution imaging in elastography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008
Same journal

Cardiac Natural Mechanical Wave Detection and Speed Estimation Using Deep Learning-Based 2-D Ultrasound Imaging: A Feasibility Study.

Ultrasound in medicine & biology·2026
Same journal

Region-Specific Evaluation of Plaque Segmentation in Cross-sectional Projections of Carotid Ultrasound Images Using Deep Learning Models in a Sub-clinical Atherosclerosis Cohort.

Ultrasound in medicine & biology·2026
Same journal

Simulating the Dedifferentiation Process of Thyroid Cancer: Insights from Mouse Models and Ultrasound Imaging.

Ultrasound in medicine & biology·2026
Same journal

A Nomogram Based on Ultrasound Features for Predicting Major Intra-Operative Hemorrhage in Patients With Placenta Accreta Spectrum (PAS).

Ultrasound in medicine & biology·2026
Same journal

MedLP-HAFB-CLIP: Hierarchical Adaptive Large Model With Learnable Medical Prompts for Level II Ultrasound Standard Plane Identification.

Ultrasound in medicine & biology·2026
Same journal

Data Assimilating B-splines for Model-based Regularization in Ultrasound Vector Flow Imaging.

Ultrasound in medicine & biology·2026
See all related articles

This study enhances contrast-transfer efficiency (CTE) in elastography by modeling continuous modulus changes. Continuous interfaces increase CTE, improving strain imaging accuracy for better tissue characterization.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Materials Science

Background:

  • Elastography measures tissue stiffness by analyzing strain patterns.
  • Contrast-transfer efficiency (CTE) quantifies the accuracy of strain imaging.
  • Previous models assumed sharp boundaries between inclusions and background, limiting accuracy.

Purpose of the Study:

  • To extend elastography's contrast-transfer efficiency (CTE) to account for continuous modulus distributions.
  • To investigate the impact of continuous inclusion/background interfaces on CTE.
  • To experimentally validate the theoretical findings using custom phantoms.

Main Methods:

  • Theoretical modeling of CTE with continuous modulus changes, incorporating Gaussian distributions.
  • Experimental fabrication of six gelatin/agar/water phantoms with varying modulus contrasts (+/- 6 dB).

Related Experiment Videos

  • Analysis of strain contrast and modulus contrast in relation to interface properties.

    • Main Results:

    • Theoretical models showed strain contrast approaches modulus contrast for Gaussian distributions with finite backgrounds, increasing CTE.
    • CTE increased with increasing standard deviation (SD) of Gaussian distributions for fixed background sizes.
    • Experimental results confirmed that continuous inclusion/background interfaces, due to osmotic pressure gradients, increase CTE compared to sharp boundaries.

    Conclusions:

    • Continuous modulus distribution at inclusion/background interfaces enhances CTE in elastography.
    • The findings suggest improved accuracy in quantifying tissue stiffness using elastography.
    • Osmotic pressure gradients are identified as a key factor in creating continuous interfaces and improving CTE.