Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

NMR Spectrometers: Resolution and Error Correction

NMR Spectrometers: Resolution and Error Correction

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...

You might also read

Related Articles

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

Sort by

Same author

Reducing Motion Artifact in High Resolution 7 T MRI Using the Magnetic Resonance Minimal Motion ("MR-MinMo") Head Stabilization Device.

Magnetic resonance in medicine·2026

Same author

Bridging the microstructural gap in human connectomics using hierarchical phase-contrast tomography as a reference for diffusion MRI in the human brain.

bioRxiv : the preprint server for biology·2026

Same author

Distorting anatomy to test MEG models and metrics.

Imaging neuroscience (Cambridge, Mass.)·2026

Same author

Neuronal plasticity during motor rehabilitation training after spinal cord injury.

Communications biology·2026

Same author

The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset.

bioRxiv : the preprint server for biology·2026

Same author

Field Strength-Dependent White Matter R<sub>1</sub> and R<sub>2</sub> Anisotropy of Phase-Cycled Balanced Steady-State Free Precession Relaxometry.

Magnetic resonance in medicine·2026

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

Search research articles

Related Experiment Video

Updated: Jun 13, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Correcting inter-scan motion artifacts in quantitative R₁ mapping at 7T.

Yaël Balbastre^1,2, Ali Aghaeifar^1,3, Nadège Corbin^1,4

¹Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK.

Magnetic Resonance in Medicine

|March 21, 2022

Summary

This summary is machine-generated.

New methods for correcting inter-scan motion in quantitative susceptibility mapping (QSM) improve accuracy at 7T MRI. These techniques do not require body coil images, simplifying motion correction for QSM at higher field strengths.

Keywords:

7T generative modeling inter-scan motion qMRI sensitivity

More Related Videos

Cardiac Magnetic Resonance Imaging at 7 Tesla

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

Related Experiment Videos

Last Updated: Jun 13, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Cardiac Magnetic Resonance Imaging at 7 Tesla

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

Area of Science:

Magnetic Resonance Imaging (MRI)
Medical Physics
Biomedical Engineering

Background:

Inter-scan motion is a significant source of error in quantitative susceptibility mapping (QSM) using multi-volume techniques like variable flip angle (VFA).
Established motion correction methods for QSM are not directly applicable to 7 Tesla (7T) MRI due to field inhomogeneities and the lack of a body coil reference.
Higher magnetic field strengths like 7T exacerbate B0 field inhomogeneities, further complicating accurate QSM estimation.

Purpose of the Study:

To develop and validate novel methods for correcting inter-scan motion artifacts in QSM estimation at 7T MRI.
To introduce techniques that do not rely on body coil images, making them suitable for 7T environments.
To compare the performance of the proposed methods against established techniques and a no-motion baseline.

Main Methods:

Two novel methods were developed to compute relative coil sensitivities using coil-combined magnitude images.
Method 1 utilizes a simple ratio, while Method 2 employs a more complex generative model fitting approach.
Quantitative susceptibility maps (QSM) were acquired using the VFA approach at 3T and 7T, with and without induced inter-scan motion.

Main Results:

Both proposed methods demonstrated superior performance compared to the established baseline method at 3T.
Inter-scan motion artifacts were significantly reduced at 7T using the novel correction techniques.
Achieving reproducibility comparable to the no-motion condition at 7T required incorporating position-specific transmit field effects.

Conclusions:

The developed methods offer a simplified and effective approach for inter-scan motion correction in QSM.
These techniques are applicable across different field strengths (3T and 7T) and do not require body coil reference scans.
Open-source code for the presented methods is publicly available to facilitate wider adoption and research.