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

VET imaging: magnetic resonance imaging with variable encoding time

D A Feinberg1

  • 1Department of Radiology, New York University Medical Center, New York 10016, USA.

Magnetic Resonance in Medicine
|July 1, 1997
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

Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI.

NeuroImage·2014
Same author

Single-shot 3D GRASE with cylindrical k-space trajectories.

Magnetic resonance in medicine·2008
Same author

In vitro evaluation of platinum Guglielmi detachable coils at 3 T with a porcine model: safety issues and artifacts.

Radiology·2001
Same author

Ultrafast magnetic resonance imaging. A new window on brain research.

Science (New York, N.Y.)·1998
Same author

Segmentation analysis in functional MRI: activation sensitivity and gray-matter specificity of RARE and FLASH.

Journal of magnetic resonance imaging : JMRI·1997
Same author

Single-shot GRASE imaging with short effective TEs.

Journal of magnetic resonance imaging : JMRI·1996
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
See all related articles

This study introduces a Variable Encoding Time (VET) method for Magnetic Resonance Imaging (MRI) to enhance spatial resolution or reduce scan times. VET optimizes signal readout and phase encoding for improved image quality and faster MRI acquisition.

Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging Physics

Background:

  • Magnetic Resonance Imaging (MRI) data acquisition is often limited by gradient encoding time, constrained by radiofrequency (RF) pulse spacing.
  • Optimizing the balance between signal readout duration and phase encode pulse duration is crucial for improving MRI performance.

Purpose of the Study:

  • To introduce and evaluate a novel Variable Encoding Time (VET) methodology for MRI data acquisition.
  • To demonstrate the potential of VET to enhance spatial resolution or decrease acquisition time in 2D and 3D Fourier Transform (FT) MRI.
  • To explore the benefits of VET, including higher signal-to-noise ratio (SNR) and altered k-space spatial frequency distributions.

Main Methods:

  • Developed a Variable Encoding Time (VET) methodology adjusting signal readout and phase encode pulse durations.

Related Experiment Videos

  • Applied VET to sequences where gradient encoding time is limited by RF pulse spacing.
  • Utilized VET in Carr-Purcell-Meiboom-Gill (CPMG) and gradient echo sequences for 2D and 3D FT MRI.
  • Evaluated VET's impact on spatial resolution, acquisition time, image SNR, and k-space properties through preliminary experiments.

    • Main Results:

    • Preliminary experiments indicate VET can increase spatial resolution or reduce data acquisition time.
    • The VET methodology shows potential for improving image Signal-to-Noise Ratio (SNR).
    • VET influences spatial frequency distributions within k-space, offering new avenues for image contrast manipulation.

    Conclusions:

    • The Variable Encoding Time (VET) methodology presents a flexible approach to MRI data acquisition.
    • VET offers a trade-off between spatial resolution and acquisition time, adaptable to specific imaging needs.
    • Further investigation into VET's impact on image quality and its application in various MRI sequences is warranted.