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

Two-dimensional MR elastography with linear inversion reconstruction: methodology and noise analysis.

J Bishop1, A Samani, J Sciarretta

  • 1Department of Medical Biophysics, University of Toronto, North York, Ontario, Canada.

Physics in Medicine and Biology
|August 25, 2000
PubMed
Summary

This study introduces a physical constraint method for magnetic resonance elastography (MRE) to achieve approximate plane strain conditions. This technique significantly reduces imaging and reconstruction time by enabling 2D analysis, enhancing MRE efficiency.

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

Real-world outcomes following PARP inhibitor maintenance in ovarian cancer by <i>BRCA</i> status: a retrospective cohort study.

ESMO real world data and digital oncology·2026
Same author

Systematic curation and analysis of ovarian cancer data across multiple electronic record systems held within the UK National Health Service: a tertiary referral centre experience.

ESMO real world data and digital oncology·2026
Same author

Characterisation of oncology EHR-derived real-world data in the UK, Germany, and Japan.

ESMO real world data and digital oncology·2026
Same author

Reducing noise associated with restraint box operation can facilitate animal handling in cattle abattoirs.

New Zealand veterinary journal·2025
Same author

Effects of 24-weeks in-field use of a back-supporting exoskeleton on biomechanics, work intensity and musculoskeletal discomfort: A randomized controlled trial among logistic workers.

Applied ergonomics·2025
Same author

Corrigendum to "A comparison of the efficacy of trastuzumab deruxtecan in advanced HER2-positive breast cancer: active brain metastasis versus progressive extracranial disease alone": [ESMO Open 8 (2023) 102033].

ESMO open·2024

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Solid Mechanics

Background:

  • Magnetic Resonance Elastography (MRE) is a powerful technique for non-invasively measuring tissue stiffness.
  • Three-dimensional (3D) MRE analysis is computationally intensive and time-consuming.
  • Plane strain conditions simplify MRE data acquisition and analysis to two dimensions (2D).

Purpose of the Study:

  • To describe a methodology for imposing approximate plane strain conditions in MRE using physical constraint.
  • To reduce imaging and reconstruction time by enabling 2D MRE analysis.
  • To improve the signal-to-noise ratio (SNR) requirements for 2D MRE.

Main Methods:

  • A physical constraint method was developed to approximate plane strain conditions in MRE.

Related Experiment Videos

  • Simulations and experimental data were used to validate the constraint concept.
  • A signal/noise analysis of a 2D linear inversion technique for relative elastic modulus was performed.
  • Modifications to the numerical method were introduced to reduce SNR requirements.

    • Main Results:

    • The described methodology successfully imposes approximate plane strain conditions.
    • 2D MRE analysis significantly reduces imaging and reconstruction time compared to 3D.
    • The modified numerical method reduces SNR requirements by a factor of two to four.
    • Reconstructed experimental data demonstrated the effectiveness of the method.

    Conclusions:

    • Physical constraint offers an effective approach to achieve approximate plane strain in MRE.
    • This methodology enhances the efficiency of MRE by enabling faster 2D data acquisition and analysis.
    • The developed technique improves the feasibility of MRE in clinical settings by reducing computational demands and improving SNR.