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Related Experiment Videos

Motion artifact suppression: a review of post-processing techniques.

M Hedley1, H Yan

  • 1University of Sydney, Department of Electrical Engineering, NSW, Australia.

Magnetic Resonance Imaging
|January 1, 1992
PubMed
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Patient motion during MRI scans creates image artifacts. This study reviews techniques for correcting inter-view motion effects, focusing on post-processing methods for improved image quality.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Image Reconstruction

Background:

  • Patient motion during Magnetic Resonance Imaging (MRI) acquisition introduces artifacts like blurring and ghosting in reconstructed images.
  • Intra-view motion artifacts are effectively managed with gradient moment nulling, but inter-view effects lack similarly effective and broadly applicable solutions.

Purpose of the Study:

  • To review and analyze existing techniques for correcting inter-view motion artifacts in MRI.
  • To categorize correction methods into data minimization and post-processing approaches.
  • To detail the analysis of post-processing techniques based on motion models, parameter estimation, and data correction.

Main Methods:

  • Review of techniques that minimize data corruption during acquisition.

Related Experiment Videos

  • Detailed examination of post-processing techniques for inter-view motion artifact correction.
  • Analysis of post-processing methods considering motion models, parameter estimation, and data correction strategies.

    • Main Results:

    • Existing techniques for inter-view motion correction are categorized.
    • Post-processing methods are analyzed in depth, evaluating their motion modeling, parameter estimation, and data correction aspects.
    • The study provides a comprehensive overview of strategies to mitigate inter-view motion artifacts.

    Conclusions:

    • Effective and general solutions for inter-view motion artifacts in MRI remain a challenge.
    • Post-processing techniques offer a promising avenue for correcting inter-view motion artifacts.
    • Further research and development in motion modeling and parameter estimation are crucial for enhanced MRI image quality.