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

Automatic algorithm for correcting motion artifacts in time-resolved two-dimensional magnetic resonance angiography

Ashish Raj1, Honglei Zhang, Martin R Prince

  • 1Department of Radiology, Weill Medical College of Cornell University, New York, New York 10022, USA.

Magnetic Resonance in Medicine
|February 8, 2006
PubMed
Summary

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

Predicting pain location from resting-state brain fMRI.

bioRxiv : the preprint server for biology·2026
Same author

An in situ non-contact 3D microscopic measurement system for temporal bone anatomy based on stereo imaging.

Scientific reports·2026
Same author

Clinical characteristics of hospitalized patients with benign gallbladder disease: a large-scale retrospective analysis.

BMC gastroenterology·2026
Same author

A horizontal connectivity mode in coastal oceans: transport overrides stratification to govern microbiome network stability.

Applied and environmental microbiology·2026
Same author

Gene Gradients Reveal Directed Structural Connectivity Across Species.

bioRxiv : the preprint server for biology·2026
Same author

Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan.

Nature aging·2026

A new projection onto convex sets (POCS) algorithm automatically removes motion artifacts in time-resolved contrast enhanced magnetic resonance angiography (MRA). This method preserves vascular information and significantly improves image quality compared to manual methods.

Area of Science:

  • Medical Imaging
  • Radiology
  • Image Processing

Background:

  • Time-resolved contrast-enhanced magnetic resonance angiography (MRA) is susceptible to involuntary patient motion, which can degrade image quality.
  • Motion artifacts present distinct signal and phase characteristics in k-space compared to vascular enhancement signals.

Purpose of the Study:

  • To develop an automatic, iterative algorithm for motion artifact removal in MRA.
  • To preserve essential vascular information while effectively filtering out motion-induced artifacts.

Main Methods:

  • A novel projection onto convex sets (POCS) algorithm was developed, incorporating high-pass phase filtering and convex projections in k-space and image space.
  • The algorithm operates iteratively without requiring explicit motion parameter input.

Related Experiment Videos

  • It is designed to handle various non-rigid motions, including through-plane motion.

    • Main Results:

    • The POCS algorithm effectively filters motion artifacts while preserving vasculature.
    • The method demonstrates stability and rapid convergence, typically within five iterations.
    • A double-blind evaluation showed significantly improved rank scores for the unsupervised POCS algorithm compared to manual angiogram interpretation (P=0.038).

    Conclusions:

    • The proposed POCS algorithm offers an effective and automated solution for motion artifact correction in MRA.
    • This technique enhances diagnostic accuracy by improving the quality of MRA images.
    • The unsupervised nature and rapid convergence make it a practical tool for clinical applications.