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Related Experiment Videos

Analysis and correction of motion artifacts in diffusion weighted imaging

A W Anderson1, J C Gore

  • 1Department of Diagnostic Radiology, Yale School of Medicine, New Haven, Connecticut 06510.

Magnetic Resonance in Medicine
|September 1, 1994
PubMed
Summary

Patient motion during diffusion-weighted MRI causes phase errors. A new method corrects for translations and rotations, significantly improving in vivo image quality.

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Area of Science:

  • Magnetic Resonance Imaging
  • Medical Physics
  • Neuroimaging

Background:

  • Patient motion during diffusion-weighted MRI (DW-MRI) introduces artifacts.
  • Rigid body motion, including translations and rotations, causes phase errors in MRI data.
  • Accurate motion correction is crucial for reliable DW-MRI analysis.

Purpose of the Study:

  • To theoretically and experimentally investigate phase errors from rigid body motion in DW-MRI.
  • To develop and validate a method for correcting both translational and rotational motion artifacts.
  • To demonstrate the impact of motion correction on in vivo human brain imaging.

Main Methods:

  • Theoretical analysis of phase errors as a function of position for translations and rotations.
  • Utilizing navigator echoes for motion parameter estimation.

Related Experiment Videos

  • Applying motion correction when diffusion gradients are aligned with the phase encode direction.
  • Experimental validation using phantoms and human brain scans.

    • Main Results:

    • Translations induce zero-order, and rotations induce first-order, phase errors in position.
    • Navigator echoes effectively correct for arbitrary translations.
    • Correction for rotations is feasible when diffusion gradients are in the phase encode direction.
    • Motion correction significantly enhances image quality in human brain DW-MRI.

    Conclusions:

    • A comprehensive method for correcting general rigid body motion in DW-MRI has been established.
    • The proposed technique dramatically improves in vivo image quality by mitigating motion-induced artifacts.
    • This approach holds significant potential for advancing quantitative analysis in neuroimaging studies.