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

Quantitative spectroscopy using multiple surface coil probes.

P Styles1

  • 1MRC Biochemical and Clinical Magnetic Resonance Unit, John Radcliffe Hospital, Headington, Oxford, United Kingdom.

Magnetic Resonance in Medicine
|January 1, 1991
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

Problems associated with using in vivo proton (1H) magnetic resonance spectroscopy to quantify liver fat.

Asia Pacific journal of clinical nutrition·2014
Same author

A high-resolution NMR probe in which the coil and preamplifier are cooled with liquid helium. 1984.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2011
Same author

Association between cortical metabolite levels and clinical manifestations of migrainous aura: an MR-spectroscopy study.

Brain : a journal of neurology·2007
Same author

MRS reveals additional hexose N-acetyl resonances in the brain of a mouse model for Sandhoff disease.

NMR in biomedicine·2005
Same author

Detection of the inhibitory neurotransmitter GABA in macrophages by magnetic resonance spectroscopy.

Journal of leukocyte biology·2005
Same author

High-dose creatine therapy for Huntington disease: a 2-year clinical and MRS study.

Neurology·2005
Same journal

Feasibility and SNR Performance of Hyperpolarized <sup>129</sup>Xe Gas Exchange Imaging Using a Balanced SSFP Sequence.

Magnetic resonance in medicine·2026
Same journal

Multi-Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration.

Magnetic resonance in medicine·2026
Same journal

Suppression of Oscillation and Ghosting in RF-Spoiled Gradient-Echo-Based Dynamic Imaging.

Magnetic resonance in medicine·2026
Same journal

A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp-Logan.

Magnetic resonance in medicine·2026
Same journal

7T 3D-EPI PCASL With High SNR Efficiency and Robustness to Through-Plane B<sub>0</sub> Field Gradients.

Magnetic resonance in medicine·2026
Same journal

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

Magnetic resonance in medicine·2026
See all related articles

This study optimizes the rotating frame localization method for better experimental performance and data processing. Phantom sample analysis reveals imperfections impacting data reliability in magnetic resonance imaging.

Area of Science:

  • Magnetic Resonance Imaging
  • Medical Physics

Background:

  • Rotating frame sequences are crucial for advanced MRI techniques.
  • Optimizing data acquisition and processing is essential for accurate localization.

Purpose of the Study:

  • To detail the optimal execution and data processing for rotating frame localization.
  • To identify and analyze imperfections affecting data confidence using phantom studies.

Main Methods:

  • Experimental procedures for rotating frame localization.
  • Data processing strategies for enhanced signal-to-noise ratio and accuracy.
  • Utilizing phantom samples to simulate and evaluate imaging artifacts.

Main Results:

  • Demonstrated optimal parameters for rotating frame experiments.

Related Experiment Videos

  • Quantified the impact of various imperfections on localization accuracy.
  • Established confidence levels for data acquired under different conditions.
  • Conclusions:

    • Proper experimental setup and data processing significantly improve rotating frame localization performance.
    • Understanding phantom-derived imperfections is key to interpreting real-world MRI data.
    • The study provides a framework for reliable application of this localization technique.