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

10.4K
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...
10.4K

You might also read

Related Articles

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

Sort by
Same author

From Errors to Beliefs and Routes: Rethinking Cortical Inference.

Neuroscience and biobehavioral reviews·2026
Same author

Frame-wise multi-echo distortion correction for superior functional MRI.

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

Predictive acoustical processing in human cortical layers.

Nature communications·2026
Same author

An 80-channel receive array for 10.5T neuroimaging: Key considerations for SNR optimization.

bioRxiv : the preprint server for biology·2026
Same author

Functional MRI of the Human Hippocampus at 10.5T: Pushing the Boundaries of Spatial Resolution.

bioRxiv : the preprint server for biology·2026
Same author

Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Apr 3, 2026

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

10.1K

Variable flip angle 3D-GRASE for high resolution fMRI at 7 tesla.

Valentin G Kemper1,2, Federico De Martino1,2,3, Essa Yacoub3

  • 1Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, MD Maastricht, The Netherlands.

Magnetic Resonance in Medicine
|September 22, 2015
PubMed
Summary

Variable flip angle refocusing pulse trains in 3D-GRASE MRI significantly reduce blurring and increase spatial coverage for high-resolution functional imaging. This technique enhances usability for advanced T2-weighted functional MRI at 7 Tesla.

Keywords:
3D-GRASE7TT2 weighted fMRIhigh-resolution fMRIpoint-spread functionvariable flip angle

More Related Videos

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.6K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.2K

Related Experiment Videos

Last Updated: Apr 3, 2026

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

10.1K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.6K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.2K

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging Techniques
  • Biophysics

Background:

  • High spatial resolution functional MRI (fMRI) is crucial for understanding brain function.
  • Standard 3D-GRASE sequences can suffer from blurring and limited spatial coverage, especially at high resolutions.
  • Optimizing pulse sequences is essential for improving fMRI data quality and diagnostic capabilities.

Purpose of the Study:

  • To evaluate variable flip angle (VFA) refocusing pulse trains in 3D-GRASE for high-resolution fMRI at 7 Tesla.
  • To assess the impact of VFA schemes on blurring, spatial coverage, temporal stability, and functional sensitivity.
  • To determine if VFA improves the utility of 3D-GRASE for advanced fMRI applications.

Main Methods:

  • VFA refocusing schemes for 3D-GRASE were designed using extended phase graph (EPG) theory.
  • Blurring was quantified via simulations, phantom studies, and in vivo experiments.
  • Temporal stability and functional sensitivity were assessed at 0.8 mm isotropic resolution.

Main Results:

  • VFA schemes reduced blurring by 30-40% (Full Width at Half Maximum) compared to conventional methods.
  • Spatial coverage was increased by up to 80% with VFA.
  • While temporal SNR slightly decreased, functional sensitivity was maintained due to enhanced functional contrast, though sensitive to RF transmission imperfections.

Conclusions:

  • VFA refocusing schemes enhance the usability of 3D-GRASE for high-resolution fMRI.
  • These schemes effectively reduce blurring and expand spatial coverage, improving image quality.
  • The findings support the adoption of VFA for advanced 7 Tesla fMRI.