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Related Experiment Videos

Automatic compensation of motion artifacts in MRI.

D Atkinson1, D L Hill, P N Stoyle

  • 1Division of Radiological Sciences and Medical Engineering, The Guy's, King's and St. Thomas' School of Medicine, London, United Kingdom.

Magnetic Resonance in Medicine
|February 20, 1999
PubMed
Summary

This study introduces a novel post-processing method to reduce blurring and ghosting artifacts in magnetic resonance images caused by patient motion. The strategy effectively corrects for in-plane motion, improving image quality efficiently.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Biomedical Engineering

Background:

  • Patient motion during Magnetic Resonance Imaging (MRI) acquisition is a significant source of image artifacts, including blurring and ghosting.
  • These artifacts degrade diagnostic image quality and can necessitate repeat scans, increasing patient discomfort and resource utilization.

Purpose of the Study:

  • To develop and validate a novel post-processing strategy for reducing in-plane, rigid-body motion artifacts in MRI.
  • To achieve artifact reduction in a timeframe comparable to re-scanning a patient.

Main Methods:

  • An iterative algorithm was developed to estimate unknown patient motion parameters (rotations and translations).
  • The algorithm employs a multi-resolution approach in the phase-encode direction and separate 1D searches for rotations and translations.

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  • A novel re-gridding method minimizes computational cost, requiring only one calculation per rotation angle.

    • Main Results:

    • The post-processing strategy successfully reduced motion-induced artifacts in MRI data.
    • The method demonstrated applicability to various types of in-plane rigid-body motion, different image weighting, and diverse k-space trajectories.
    • Artifact reduction was validated using data from phantoms, healthy volunteers, and actual patients.

    Conclusions:

    • The presented post-processing strategy offers an efficient and effective solution for mitigating motion artifacts in MRI.
    • This technique has the potential to improve diagnostic accuracy and reduce the need for repeat scans, enhancing the clinical utility of MRI.