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 Video

Updated: Jun 1, 2025

Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

11.3K

Phantom-based gradient waveform measurements with compensated variable-prephasing: Description and application to EPI

Hannah Scholten1, Tobias Wech1,2, Istvan Homolya3

  • 1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.

Magnetic Resonance in Medicine
|January 21, 2025
PubMed
Summary

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

A Spatio-Temporal Diffusion Model for Cardiac Real-Time Imaging.

Magnetic resonance in medicine·2026
Same author

fMRI signals of pattern separation in the neocortex and hippocampus to non-meaningful objects and their spatial location.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Real-time cardiac cine MRI: A comparison of a diffusion probabilistic model with alternative state-of-the-art image reconstruction techniques for undersampled spiral acquisitions.

Magnetic resonance in medicine·2025
Same author

On the correction of spiral trajectories on a preclinical MRI scanner with a high-performance gradient insert.

NMR in biomedicine·2024
Same author

Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging.

Circulation. Cardiovascular imaging·2024
Same author

Study protocol of the Hungarian Longitudinal Study of Healthy Brain Aging (HuBA).

Ideggyogyaszati szemle·2024

Compensated variable-prephasing (CVP) offers precise phantom-based gradient waveform measurements. This new method improves upon variable-prephasing (VP) for accurate gradient characterization in MRI.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Gradient Coil Engineering
  • Signal Processing in MRI

Background:

  • Accurate gradient waveform measurement is crucial for advanced MRI techniques.
  • Existing methods like variable-prephasing (VP) have limitations due to uncompensated gradient effects.
  • Precise gradient characterization is essential for trajectory corrections in fast imaging sequences.

Purpose of the Study:

  • Introduce compensated variable-prephasing (CVP), an enhanced phantom-based method for gradient waveform measurement.
  • To evaluate the performance of CVP against traditional VP and fully compensated variable-prephasing (FCVP).
  • To assess the utility of measured gradient waveforms for trajectory corrections in echo-planar imaging (EPI).

Main Methods:

  • Measurements of trapezoidal and EPI readout gradients using VP, CVP, and FCVP techniques.
Keywords:
EPIgradient impulse responsegradient measurementultrahigh fieldvariable‐prephasing

More Related Videos

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

8.7K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K

Related Experiment Videos

Last Updated: Jun 1, 2025

Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

11.3K
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

8.7K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K
  • Comparison of measured waveforms with predictions derived from the gradient system transfer function.
  • Application of measured and predicted EPI gradients for trajectory corrections in phantom imaging at 7T.

    • Main Results:

    • VP measurements were affected by prephasing gradient oscillations, which CVP and FCVP successfully compensated.
    • FCVP demonstrated vulnerability to sign asymmetry within the gradient system.
    • Despite method variations, all three approaches yielded comparable high-quality EPI images.

    Conclusions:

    • Compensated variable-prephasing (CVP) provides a highly precise method for phantom-based gradient waveform measurements.
    • This technique is valuable for trajectory corrections in non-Cartesian and single-shot MRI sequences.
    • CVP emerged as the most reliable method for gradient measurements in the comparative experimental setup.