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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.8K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.8K

You might also read

Related Articles

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

Sort by
Same author

Comparative Assessment of Graglia-Wilton-Peterson and Rao-Wilton-Glisson Basis Functions for Radiofrequency Coil Modeling in Magnetic Resonance Imaging.

IEEE journal on multiscale and multiphysics computational techniques·2026
Same author

L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI.

ArXiv·2026
Same author

Seeing my way.

Current problems in diagnostic radiology·2026
Same author

Correction of Respiratory Motion in Free-Breathing DCE-MRI Using a Pilot-Tone Coil.

NMR in biomedicine·2026
Same author

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis.

Journal of magnetic resonance imaging : JMRI·2026
Same author

A multimodal biomechanics dataset with synchronized kinematics and internal tissue motions during reaching.

Scientific data·2026

Related Experiment Video

Updated: Dec 22, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.6K

Magnetic-Resonance-Based Electrical Property Mapping Using Global Maxwell Tomography With an 8-Channel Head Coil at 7

Ilias I Giannakopoulos, Jose E C Serralles, Luca Daniel

    IEEE Transactions on Bio-Medical Engineering
    |May 5, 2020
    PubMed
    Summary

    Global Maxwell Tomography (GMT) accurately estimates electrical properties using a realistic 8-channel RF coil at 7T. This technique shows promise for in vivo imaging and patient-specific power deposition calculations.

    More Related Videos

    Cardiac Magnetic Resonance Imaging at 7 Tesla
    09:14

    Cardiac Magnetic Resonance Imaging at 7 Tesla

    Published on: January 6, 2019

    12.1K
    The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism
    13:56

    The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism

    Published on: November 19, 2014

    20.5K

    Related Experiment Videos

    Last Updated: Dec 22, 2025

    Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
    08:51

    Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

    Published on: February 19, 2021

    9.6K
    Cardiac Magnetic Resonance Imaging at 7 Tesla
    09:14

    Cardiac Magnetic Resonance Imaging at 7 Tesla

    Published on: January 6, 2019

    12.1K
    The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism
    13:56

    The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism

    Published on: November 19, 2014

    20.5K

    Area of Science:

    • Magnetic Resonance Imaging (MRI)
    • Biophysics
    • Electrical Engineering

    Background:

    • Global Maxwell Tomography (GMT) is a novel volumetric technique for noninvasive estimation of electrical properties (EP) from MRI measurements.
    • Previous evaluations of GMT utilized ideal radiofrequency (RF) excitations, limiting real-world applicability.
    • Assessing GMT performance with realistic RF coil configurations is crucial for its clinical translation.

    Purpose of the Study:

    • To evaluate the performance of Global Maxwell Tomography (GMT) for electrical property estimation using a realistic 8-channel RF coil at 7 Tesla.
    • To investigate the impact of different RF shimming approaches on GMT accuracy.
    • To assess the potential of GMT for predicting RF power deposition and detecting abnormalities like tumors.

    Main Methods:

    • Designed and simulated an 8-channel transmit-receive RF coil for 7T head imaging.
    • Calculated RF transmit fields (B1+) within heterogeneous head models using various RF shimming strategies.
    • Inputted calculated B1+ fields into GMT to reconstruct volumetric EP for all voxels.

    Main Results:

    • Coil tuning and decoupling remained stable across different head models.
    • Mean errors in relative permittivity and conductivity estimation were observed, with slight improvements using SVD-based RF shimming.
    • RF transmit fields and absorbed power were predicted with <5% error; GMT accurately detected a simulated tumor.

    Conclusions:

    • Global Maxwell Tomography (GMT) reliably reconstructs electrical properties in simulated realistic scenarios with a tailored 8-channel RF coil at 7T.
    • Further research will focus on coil construction and GMT's robustness to noise for in vivo experiments.
    • GMT has the potential to serve as a biomarker and enable patient-specific RF power deposition estimation in ultra-high-field MRI.