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

A computationally efficient method for tracking reference position displacements for motion compensation in magnetic

T K Foo1, K F King

  • 1Applied Science Laboratory, GE Medical Systems, Milwaukee, Wisconsin,USA. thomas.foo@med.ge.com

Magnetic Resonance in Medicine
|September 1, 1999
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

Average SAR prediction, validation, and evaluation for a compact MR scanner head-sized RF coil.

Magnetic resonance imaging·2021
Same author

Compromised BRCA1-PALB2 interaction is associated with breast cancer risk.

Oncogene·2017
Same author

Inductively coupled wireless RF coil arrays.

Magnetic resonance imaging·2014
Same author

Removal of olefinic fat chemical shift artifact in diffusion MRI.

Magnetic resonance in medicine·2011
Same author

Imaging near metal with a MAVRIC-SEMAC hybrid.

Magnetic resonance in medicine·2010
Same author

Magnetic resonance imaging near metal implants.

Journal of magnetic resonance imaging : JMRI·2010

This study introduces a fast, efficient method for tracking diaphragm displacement using MR imaging. This technique minimizes respiratory motion artifacts by synchronizing data acquisition to organ position.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computational Science

Background:

  • Respiratory motion significantly degrades the quality of Magnetic Resonance (MR) imaging.
  • Accurate tracking of organ motion is crucial for synchronizing MR data acquisition.
  • Existing motion correction methods can be computationally intensive.

Purpose of the Study:

  • To develop a fast and computationally efficient method for detecting and tracking diaphragm displacement using MR imaging.
  • To synchronize MR data acquisition to the relative position of abdominal and thoracic organs.
  • To minimize or eliminate respiratory motion artifacts in MR images.

Main Methods:

  • Utilizes the time domain linear phase shift of a reference structure to determine spatial displacement.

Related Experiment Videos

  • Applies Fourier transformation, apodization, and inverse Fourier transformation to a 2D excitation column signal.
  • Determines relative displacement via autocorrelation of the resulting time domain information.

    • Main Results:

    • The described technique requires 3-8 times less computation than cross-correlation or least-squares analysis.
    • Successfully tracks diaphragm displacement throughout the respiratory cycle.
    • Enables synchronization of MR data acquisition to minimize motion artifacts.

    Conclusions:

    • This novel method provides a computationally efficient approach for respiratory motion compensation in MR imaging.
    • The technique is effective for real-time tracking and synchronization, improving image quality.
    • Offers a significant advantage in terms of computational load compared to traditional methods.