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

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

773
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
773

You might also read

Related Articles

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

Sort by
Same author

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

Magnetic resonance in medicine·2026
Same author

Unsupervised deep image prior for sparse-view and limited-angle electron tomography.

Ultramicroscopy·2026
Same author

Multifractality in critical neural field dynamics.

Physical review. E·2026
Same author

Multi-plane vision transformer for hemorrhage classification using axial and sagittal MRI data.

Scientific reports·2026
Same author

Motion- and Field-Robust Mesoscopic Whole-Brain <math><semantics><mrow><msubsup><mi>T</mi> <mn>2</mn> <mo>*</mo></msubsup></mrow> <annotation>$$ {T}_2^{\ast } $$</annotation></semantics></math> -Weighted Imaging at 7 and 11.7 T Using Servo Navigation.

Magnetic resonance in medicine·2026
Same author

Ready for Routine: Homogeneous, High-Resolution, and Multicontrast Whole-Brain MRI at 7 Tesla in Short Scan Time With "plug-and-Play" pTx Sequences.

Investigative radiology·2025

Related Experiment Video

Updated: Sep 7, 2025

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

9.2K

Iterative static field map estimation for off-resonance correction in non-Cartesian susceptibility weighted imaging.

Guillaume Daval-Frérot1,2,3, Aurélien Massire1, Boris Mailhe4

  • 1Siemens Healthcare SAS, Saint-Denis, France.

Magnetic Resonance in Medicine
|June 23, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to correct magnetic field distortions in susceptibility-weighted imaging (SWI) using existing data. The technique avoids extra scans, offering improved or comparable results to traditional methods for clearer MRI images.

Keywords:
SPARKLINGSWIcompressed sensingnon-Cartesian imaging

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.4K

Related Experiment Videos

Last Updated: Sep 7, 2025

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

9.2K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.4K

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Image Processing

Background:

  • Patient-induced magnetic field inhomogeneities cause artifacts in susceptibility-weighted imaging (SWI).
  • Conventional correction methods necessitate additional magnetic field map acquisitions, increasing scan time and complexity.
  • Susceptibility-weighted imaging (SWI) is sensitive to magnetic field distortions, impacting image quality.

Purpose of the Study:

  • To develop and validate a method for estimating static magnetic field maps directly from SWI data.
  • To eliminate the need for separate magnetic field map acquisitions in SWI.
  • To improve the accuracy and robustness of artifact correction in SWI.

Main Methods:

  • Approximation of the static magnetic field map from a single echo acquisition in SWI.
  • Utilizing long echo times (TE > 20 ms at 3T) to minimize non-linear field effects.
  • Combining and unfolding multi-channel phase maps using advanced algorithms.
  • Assessing the method with in vivo human brain data acquired using SPARKLING readouts.

Main Results:

  • The proposed method generated 3D field maps with 0.6 mm isotropic resolution.
  • Off-resonance corrections were comparable to external field map methods, with improvements in 2 out of 4 subjects.
  • The new method showed robustness against volume mismatches and other error sources, unlike reference methods.

Conclusions:

  • A novel static magnetic field map estimation method leverages long echo time acquisitions in SWI.
  • The proposed technique outperforms traditional external field map methods in artifact correction.
  • This approach offers a more robust and efficient solution for SWI artifact reduction.