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

A new approach to elastography using mutual information and finite elements.

Michael I Miga1

  • 1Department of Biomedical Engineering, Vanderbilt University, VU Station B, 351631, Nashville, TN 37235, USA. michael.i.miga@vanderbilt.edu

Physics in Medicine and Biology
|March 13, 2003
PubMed
Summary

This study introduces a novel iterative image registration algorithm for mammographic elastography. This method reconstructs tissue stiffness images, aiding in the detection of potentially life-threatening masses.

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

Mixed Reality Surgical Navigation System for Liver Interventions with Comprehensive Validation using Subsurface Target Localization.

IEEE transactions on bio-medical engineering·2026
Same author

Comprehensive mixed reality surgical navigation system for liver surgery.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

Comparing regularized Kelvinlet functions and the finite element method for registration of medical images to sparse organ data.

Medical image analysis·2024
Same author

Comparison study of intraoperative surface acquisition methods on registration accuracy for soft-tissue surgical navigation.

Journal of medical imaging (Bellingham, Wash.)·2024
Same author

Simulation of Image-Guided Microwave Ablation Therapy Using a Digital Twin Computational Model.

IEEE open journal of engineering in medicine and biology·2024
Same author

A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model.

Cancer research communications·2024

Area of Science:

  • Biomedical Imaging
  • Medical Physics
  • Computational Mechanics

Background:

  • Increased tissue mechanical stiffness is historically linked to organ health assessment and the detection of malignant growths.
  • Elastography techniques, which image tissue elasticity, are gaining significant scientific interest for diagnostic applications.

Purpose of the Study:

  • To introduce a new elastography method specifically for mammographic imaging.
  • To develop a non-rigid iterative image registration algorithm for reconstructing elasticity images.

Main Methods:

  • The proposed method utilizes a finite element model where material properties are varied to enhance image registration.
  • Regional image similarity measures are employed within an objective function minimization framework.

Related Experiment Videos

  • The algorithm iteratively reconstructs elasticity images representing tissue stiffness.

    • Main Results:

    • Numerical simulations demonstrate the successful encoding of stiffness information using a regional image similarity criterion.
    • The simulations validate the iterative elastographic imaging framework and the elasticity reconstruction process.
    • The approach is shown to be adaptable to various imaging modalities.

    Conclusions:

    • This novel elastography method offers a robust approach for quantitative tissue stiffness imaging within mammography.
    • The iterative registration algorithm effectively reconstructs elasticity maps from image data.
    • The technique's versatility allows application with diverse medical imaging modalities, enhancing its diagnostic potential.