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

Gradient characterization using a Fourier-transform technique

M T Alley1, G H Glover, N J Pelc

  • 1Department of Radiology, Stanford University, California 94305-5488, USA.

Magnetic Resonance in Medicine
|April 16, 1998
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

Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression.

Brain stimulation·2021
Same author

Targeting location relates to treatment response in active but not sham rTMS stimulation.

Brain stimulation·2021
Same author

Semantic repetition priming for verbal and pictorial knowledge: a functional MRI study of left inferior prefrontal cortex.

Journal of cognitive neuroscience·2013
Same author

Hemodynamic assessment of celiaco-mesenteric anastomosis in patients with pancreaticoduodenal artery aneurysm concomitant with celiac artery occlusion using flow-sensitive four-dimensional magnetic resonance imaging.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2013
Same author

Pubertal stage and brain anatomy in girls.

Neuroscience·2012
Same author

Pneumatically driven finger movement: a novel passive functional MR imaging technique for presurgical motor and sensory mapping.

AJNR. American journal of neuroradiology·2011

This study introduces a new Fourier-transform technique for precisely measuring magnetic resonance (MR) system k-space trajectories and eddy currents. This method improves accuracy and efficiency in characterizing MR gradient subsystems.

Area of Science:

  • Magnetic Resonance Imaging
  • Medical Physics
  • Biomedical Engineering

Background:

  • Accurate characterization of the gradient subsystem is crucial for Magnetic Resonance (MR) system performance.
  • Conventional methods for measuring gradient waveforms and eddy currents have limitations in accuracy and scope.
  • Understanding and quantifying k-space trajectories and residual gradient effects are essential for image quality.

Purpose of the Study:

  • To present a novel Fourier-transform-based technique for direct characterization of MR system gradient subsystems.
  • To enable precise measurement of k-space trajectories generated by arbitrary gradient waveforms.
  • To adapt the technique for measuring residual gradient effects, such as eddy currents, and their parameterization.

Main Methods:

Related Experiment Videos

  • Utilizing Fourier-transform analysis to directly measure the k-space trajectory.
  • Extending the technique to multiple dimensions for comprehensive analysis.
  • Applying the method to measure gradient waveforms and eddy currents.
  • Parameterizing eddy-current measurements using an impulse-response formalism.

    • Main Results:

    • Direct measurement of k-space trajectories from arbitrary gradient waveforms.
    • Successful measurement of eddy currents and their characterization.
    • Demonstration of the technique's ability to measure short time constant effects.
    • Comparison showing reduced analysis error compared to peak-fitting analysis.

    Conclusions:

    • The proposed Fourier-transform technique offers a direct and accurate method for characterizing MR gradient subsystems.
    • This approach provides advantages over conventional techniques, including improved accuracy and the ability to measure fast transient effects.
    • The parameterization of eddy currents facilitates system tuning and optimization.