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An improved algorithm for 2-D translational motion artifact correction.

M Medley1, H Yan, D Rosenfeld

  • 1Sch. of Electr. Eng., Sydney Univ., NSW.

IEEE Transactions on Medical Imaging
|January 1, 1991
PubMed
Summary
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A new post-processing algorithm corrects phase data corruption caused by translational motion in magnetic resonance imaging (MRI). This advanced method improves image quality by effectively removing motion artifacts, even in noisy conditions.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Biomedical Engineering

Background:

  • Magnetic Resonance Imaging (MRI) systems have advanced significantly.
  • Patient motion during MRI scans is a major source of image artifacts.
  • Translational motion corrupts phase data, degrading image quality.

Purpose of the Study:

  • To develop and validate a novel computer post-processing algorithm.
  • To correct phase data corrupted by translational motion in the imaging plane.
  • To remove motion-induced artifacts in MRI examinations.

Main Methods:

  • An advanced post-processing algorithm was developed.
  • The algorithm incorporates specific prior information for improved convergence.
  • Verification was performed using a Shepp and Logan phantom with simulated motion.

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Main Results:

  • The algorithm successfully corrected phase data corrupted by motion.
  • Both periodic and random motion artifacts were effectively removed.
  • Performance was not significantly degraded by the presence of noise.

Conclusions:

  • The proposed algorithm offers superior convergence for motion artifact correction in MRI.
  • This method enhances MRI image quality by addressing translational motion.
  • The algorithm demonstrates robustness in the presence of noise.