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

Analysis and comparison of motion-correction techniques in diffusion-weighted imaging

T P Trouard1, Y Sabharwal, M I Altbach

  • 1Department of Radiology, University of Arizona Health Sciences Center, Tucson 85724, USA.

Journal of Magnetic Resonance Imaging : JMRI
|November 1, 1996
PubMed
Summary

Motion artifacts significantly degrade MRI quality, especially in diffusion-weighted imaging (DWI). A radial-scan method shows superior robustness for correcting complex motion compared to GPOCS and navigator echo techniques.

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

A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images.

AJNR. American journal of neuroradiology·2021
Same author

Fully Automated Segmentation of Globes for Volume Quantification in CT Images of Orbits using Deep Learning.

AJNR. American journal of neuroradiology·2020
Same author

Clinical Utility of a Novel Ultrafast T2-Weighted Sequence for Spine Imaging.

AJNR. American journal of neuroradiology·2018
Same author

Rapid observation of unfixed, unstained human skin biopsy specimens with confocal microscopy and visualization.

Journal of biomedical optics·2012
Same author

Computer-generated holograms for optical neural networks: on-axis versus off-axis geometry.

Applied optics·2010
Same author

Design and analysis of fixed planar holographic interconnects for optical neural networks.

Applied optics·2010

Area of Science:

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

Background:

  • Motion artifacts are a major challenge in MRI, severely impacting image quality.
  • Diffusion-weighted imaging (DWI) is particularly susceptible to motion due to strong gradient fields.

Purpose of the Study:

  • To compare three methods for correcting motion artifacts in MRI, specifically for DWI.
  • To evaluate the robustness of each method against different types of motion.

Main Methods:

  • Generalized projection onto convex sets (GPOCS) postprocessing algorithm.
  • Navigator echoes for tracking phase errors.
  • Radial-scan data acquisition with a modified projection-reconstruction algorithm.

Main Results:

Related Experiment Videos

  • All three methods effectively correct for translational motion.
  • The radial-scan method demonstrated greater robustness in the presence of more complex motion types.

Conclusions:

  • The radial-scan technique offers a more reliable solution for motion artifact correction in DWI.
  • Understanding rigid body motion is crucial for improving MRI data accuracy.