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

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...
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...

You might also read

Related Articles

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

Sort by
Same author

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same author

Insights into perceptual learning.

eLife·2026
Same author

Training in Gabor Orientation Identification Optimizes the Temporal Window of Adults With Anisometropic Amblyopia.

Investigative ophthalmology & visual science·2026
Same author

Spatiotemporally Cascade-Releasing Polyester Nanoparticles for Synergistic Photodynamic/Chemo/Gene Therapy of Colorectal Cancer.

Advanced healthcare materials·2026
Same author

Quantification of planar cortical magnification with optimal transport and topological smoothing.

NeuroImage·2026
Same author

Uncertainty in population receptive field estimates revealed by variational qPRF.

Journal of neuroscience methods·2025

Related Experiment Video

Updated: May 16, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Correction of eddy current distortions in high angular resolution diffusion imaging.

Jiancheng Zhuang1, Zhong-Lin Lu, Christine Bouteiller Vidal

  • 1Dana and David Dornsife Cognitive Neuroscience Imaging Center, University of Southern California, Los Angeles, California, USA. jc.zhuang@gmail.com

Journal of Magnetic Resonance Imaging : JMRI
|November 23, 2012
PubMed
Summary
This summary is machine-generated.

This study presents a new method to correct eddy current distortions in high angular resolution diffusion imaging. The technique accurately corrects image artifacts without needing extra scans.

More Related Videos

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
08:18

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

Related Experiment Videos

Last Updated: May 16, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
08:18

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Diffusion MRI

Background:

  • Eddy currents are a common artifact in diffusion MRI.
  • These distortions are particularly problematic in high angular resolution diffusion imaging (HARDI) due to strong diffusion gradients.
  • Existing correction methods often require auxiliary scans or struggle with HARDI data.

Purpose of the Study:

  • To develop a novel method for correcting eddy current-induced distortions in HARDI.
  • The goal is to achieve accurate correction without relying on additional reference scans.
  • To improve the quality and reliability of HARDI data.

Main Methods:

  • A novel algorithm was developed to estimate and correct image distortion parameters (translation, scale, shear).
  • Correction parameters are derived from image coregistration between diffusion-weighted images with similar diffusion gradient orientations.
  • A linear model computes individualized distortion correction based on diffusion gradient directions.

Main Results:

  • The algorithm's efficacy was validated through experiments on phantoms and human subjects.
  • Significant reduction in eddy current distortions was observed in HARDI scans after applying the method.
  • The proposed technique outperformed previously published methods in reducing distortions.

Conclusions:

  • The developed method effectively corrects eddy current artifacts in HARDI.
  • This approach avoids complex cross-correlation procedures between images with varying contrasts and gradient strengths.
  • The findings offer a more robust and efficient way to process HARDI data.