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Single TrAjectory Radial (STAR) imaging.

Gordon E Sarty1

  • 1Department of Psychology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. gordon.sarty@usask.ca

Magnetic Resonance in Medicine
|March 9, 2004
PubMed
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Radial MRI acquisition offers motion robustness but suffers from magnetic field inhomogeneities. The new Single TrAjectory Radial (STAR) method enhances radial EPI by enabling angular oversampling, mitigating these artifacts for improved imaging.

Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Radial k-space data acquisition in MRI is increasingly used for its motion artifact robustness compared to Cartesian methods.
  • However, radial MRI is more susceptible to image degradation from magnetic field inhomogeneities than Cartesian MRI.

Purpose of the Study:

  • To introduce the Single TrAjectory Radial (STAR) method, a novel radial EPI technique.
  • To demonstrate STAR's capability for angular oversampling without extending scan time.
  • To show STAR's potential to reduce magnetic field inhomogeneity effects in radial MRI.

Main Methods:

  • Developed the Single TrAjectory Radial (STAR) method, a variation of radial Echo Planar Imaging (EPI).
  • Acquired multiple radial k-space data lines within a single trajectory.

Related Experiment Videos

  • Implemented angular oversampling without increasing overall imaging duration.

    • Main Results:

    • The STAR method allows for angular oversampling, unlike conventional single-line radial imaging.
    • This oversampling potentially mitigates image-degrading effects caused by magnetic field inhomogeneities.
    • Demonstrated that STAR can preserve the motion-robust advantages of radial imaging within a segmented EPI framework.

    Conclusions:

    • The STAR method offers a solution to improve image quality in radial MRI by addressing magnetic field inhomogeneities.
    • This technique enables the realization of motion-robust radial imaging features in segmented EPI sequences.
    • STAR represents a significant advancement for motion-robust MRI applications susceptible to field variations.