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 Video

Updated: May 23, 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

Parallel and partial Fourier imaging with prospective motion correction.

Suchandrima Banerjee1, Philip J Beatty, Jian Z Zhang

  • 1Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA. suchandrima.banerjee@ge.com

Magnetic Resonance in Medicine
|April 11, 2012
PubMed
Summary
This summary is machine-generated.

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

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Alzheimer's Imaging Consortium.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol.

Developmental cognitive neuroscience·2024
Same author

Molecular-enriched functional connectivity in the human brain using multiband multi-echo simultaneous ASL/BOLD fMRI.

Scientific reports·2023
Same author

Artificial Intelligence in CT and MR Imaging for Oncological Applications.

Cancers·2023
Same author

DeepSWI: Using Deep Learning to Enhance Susceptibility Contrast on T2*-Weighted MRI.

Journal of magnetic resonance imaging : JMRI·2023

This study introduces a new method to fix artifacts in MRI scans caused by patient movement. The technique improves image quality for prospective motion correction (PMC) when using parallel imaging and partial Fourier imaging.

Area of Science:

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

Background:

  • Subject motion during MRI scans is a primary cause of image artifacts.
  • Prospective motion correction (PMC) minimizes motion artifacts in real-time but can complicate image reconstruction.
  • Reconstruction challenges arise with PMC due to altered coil sensitivity and field inhomogeneity, impacting parallel and partial Fourier imaging.

Purpose of the Study:

  • To present a practical, non-iterative method for reconstructing MRI images acquired with PMC.
  • To address reconstruction issues in PMC when combined with parallel imaging and/or partial Fourier imaging.
  • To improve image quality and compatibility for motion-corrected MRI scans.

Main Methods:

  • A data-driven, non-iterative approach is proposed for image reconstruction.

More Related Videos

Real-time Video Projection in an MRI for Characterization of Neural Correlates Associated with Mirror Therapy for Phantom Limb Pain
11:29

Real-time Video Projection in an MRI for Characterization of Neural Correlates Associated with Mirror Therapy for Phantom Limb Pain

Published on: April 20, 2019

Related Experiment Videos

Last Updated: May 23, 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

Real-time Video Projection in an MRI for Characterization of Neural Correlates Associated with Mirror Therapy for Phantom Limb Pain
11:29

Real-time Video Projection in an MRI for Characterization of Neural Correlates Associated with Mirror Therapy for Phantom Limb Pain

Published on: April 20, 2019

  • Data are binned based on motion measurements during PMC acquisition.
  • Intra-bin processing includes parallel imaging reconstruction, phase correction, and coil combination before bin combination.

    • Main Results:

    • The proposed method effectively reconstructs images acquired with PMC, parallel imaging, and partial Fourier imaging.
    • Simulation studies and in vivo experiments validated the technique.
    • Demonstrated robust image quality for prospectively motion-corrected 3D fast spin echo sequences.

    Conclusions:

    • The developed method offers a practical solution for reconstructing MRI data acquired with PMC.
    • It successfully overcomes reconstruction challenges associated with parallel and partial Fourier imaging in PMC.
    • This technique enhances the utility of PMC for achieving high-quality MRI.