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

3D elastography using freehand ultrasound.

Joel E Lindop1, Graham M Treece, Andrew H Gee

  • 1University of Cambridge, Department of Engineering, Cambridge, UK. jel35@eng.cam.ac.uk

Ultrasound in Medicine & Biology
|April 18, 2006
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

Potential for Reinforcement Learning in the Cerebellum.

Neural computation·2026
Same author

The clinical utility of imaging in osteoarthritis and its importance in future prediction of total hip replacement; a nested case-control study within the AGES-Reykjavik cohort.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research·2025
Same author

3-D joint space mapping at the ankle from weight-bearing CT: reproducibility, repeatability, and challenges for standardisation.

European radiology·2023
Same author

Impact of Scala Tympani Geometry on Insertion Forces during Implantation.

Biosensors·2022
Same author

Pixel-based approach to delay multiply and sum beamforming in combination with Wiener filter for improving ultrasound image quality.

Ultrasonics·2022
Same author

Multiparametric 3-D analysis of bone and joint space width at the knee from weight bearing computed tomography.

Osteoarthritis imaging·2022
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 introduces a new freehand 3D ultrasound elastography system. Improvements in image quality and error reduction are detailed for reliable, user-friendly 3D strain imaging.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Ultrasound Technology

Background:

  • Elastography visualizes tissue stiffness, crucial for disease diagnosis.
  • Freehand 3D ultrasound offers flexible volumetric imaging.
  • Integrating elastography with freehand 3D ultrasound presents unique challenges.

Purpose of the Study:

  • To present a novel freehand 3D ultrasound elastography system.
  • To review existing elastography methods adapted for 3D freehand scanning.
  • To address the robustness and error sources in freehand 3D elastography.

Main Methods:

  • Review of standard elastography techniques for 3D freehand application.
  • Development of a simple scanning protocol for freehand 3D ultrasound elastography.

Related Experiment Videos

  • Implementation of drop-out correction and frame filtering for image enhancement.
  • Main Results:

    • Promising initial results of 3D strain images from freehand scans.
    • Identification of main error sources affecting system robustness.
    • Demonstration of improved image quality using developed correction techniques.

    Conclusions:

    • The developed freehand 3D ultrasound elastography system shows potential for reliable imaging.
    • Error mitigation strategies like drop-out correction enhance image quality.
    • Further development aims for an easy-to-use system with high-quality outputs.