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Phase-encode reordering to minimize errors caused by motion

C K Macgowan1, M L Wood

  • 1Department of Medical Biophysics, University of Toronto, Canada.

Magnetic Resonance in Medicine
|March 1, 1996
PubMed
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This study introduces a novel k-space reordering method to reduce motion artifacts in MRI scans. The technique effectively minimizes ghosting and blurring caused by translational motion, improving image quality for specific anatomical regions.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Image Processing

Background:

  • Motion artifacts, specifically ghosting and blurring, degrade the quality of Magnetic Resonance Imaging (MRI) scans.
  • Existing k-space reordering techniques often introduce image blurring, limiting their effectiveness.
  • Translational motion along the phase-encoding direction is a common challenge in imaging organs like the liver and kidneys.

Purpose of the Study:

  • To develop and validate a new k-space reordering method for suppressing motion artifacts in MRI.
  • To specifically address translational motion along the phase-encoding direction, reducing both ghosting and blurring.
  • To preserve the integrity of stationary structures while correcting for motion.

Main Methods:

  • A novel k-space reordering strategy was developed, conceptually based on a linear phase shift.

Related Experiment Videos

  • The method was designed to target translational motion in the phase-encoding direction.
  • Experimental validation was performed using a moving phantom to assess artifact reduction.

    • Main Results:

    • The proposed method successfully reduced both ghosting and blurring artifacts caused by translational motion.
    • Unlike existing methods, this technique did not inadvertently corrupt stationary structures.
    • The effectiveness was demonstrated in reducing artifacts relevant to abdominal imaging (liver, kidneys).

    Conclusions:

    • The new k-space reordering method offers an effective solution for motion artifact suppression in MRI.
    • This technique is particularly beneficial for anatomical sites experiencing significant translational motion.
    • The method provides improved image quality by reducing ghosting and blurring without compromising stationary tissue detail.