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

10.3K
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...
10.3K
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

849
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
849
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

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

1.8K
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...
1.8K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

357
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
357

You might also read

Related Articles

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

Sort by
Same author

Multispectral 7 Tesla MRI as a potential predictor of dopamine transporter deficiency in Parkinson's disease.

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

Magnetic resonance imaging thoracic organ-at-risk atlas for radiation oncology.

Physics and imaging in radiation oncology·2026
Same author

Recommendations for contouring of gross tumour volume for locally advanced lung cancer using magnetic resonance imaging.

Physics and imaging in radiation oncology·2026
Same author

Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Erratum: Principal component analysis for fast and model-free denoising of multi<i>b</i>-value diffusion-weighted MR images (2019<i>Phys. Med. Biol</i>.<b>64</b>105015).

Physics in medicine and biology·2026
Same author

Influence of co-registration on lesion characterization in diffusion-weighted breast MRI.

Magma (New York, N.Y.)·2026
Same journal

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

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
See all related articles

Related Experiment Video

Updated: Mar 28, 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

Eddy current compensated double diffusion encoded (DDE) MRI.

Lars Mueller1, Andreas Wetscherek1, Tristan Anselm Kuder1

  • 1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Magnetic Resonance in Medicine
|December 31, 2015
PubMed
Summary
This summary is machine-generated.

Eddy current compensation is crucial for accurate diffusion-weighted imaging. Compensating both diffusion encodings in double diffusion encoding (DDE) MRI improves microscopic fractional anisotropy (μFA) measurements, especially in brain ventricles and gray matter.

Keywords:
MRIdouble diffusion encodingeddy current compensationmicroscopic diffusion anisotropyμFA

More Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.5K
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

11.0K

Related Experiment Videos

Last Updated: Mar 28, 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
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.5K
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

11.0K

Area of Science:

  • Medical Imaging
  • Neuroimaging

Background:

  • Diffusion-weighted echo planar imaging (EPI) is susceptible to image distortions caused by eddy currents.
  • These distortions can affect quantitative metrics derived from diffusion MRI, such as microscopic fractional anisotropy (μFA).

Purpose of the Study:

  • To propose and evaluate a method for reducing eddy current effects in double diffusion encoding (DDE) MRI.
  • To assess the impact of this compensation on the accuracy of μFA measurements.

Main Methods:

  • Adapted a twice-refocused spin echo scheme for DDE MRI acquisition.
  • Evaluated image distortions using a phantom study with a grid of plastic rods in water.
  • Assessed the effect of eddy current compensation on μFA in the brains of six healthy volunteers.

Main Results:

  • Eddy current compensation significantly reduced signal variation and image distortions.
  • Distortions were more pronounced in the second diffusion encoding, necessitating compensation for both.
  • μFA measurements in ventricles and gray matter were improved by reducing overestimation, while white matter μFA remained unaffected.

Conclusions:

  • Compensating for eddy currents in both diffusion encodings is recommended for DDE MRI.
  • This compensation enhances the reliability of μFA measurements, particularly in specific brain regions.