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Reducing motion artefacts in diffusion-weighted MRI of the brain: efficacy of navigator echo correction and pulse

O Dietrich1, S Heiland, T Benner

  • 1Department of Neuroradiology, University of Heidelberg Medical School, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany. olaf.dietrich@urz.uni-heidelberg.de

Neuroradiology
|February 9, 2000
PubMed

Insights

Pulse triggering and navigator echo correction reduce motion artifacts in diffusion-weighted MRI (DWI). These techniques significantly improve image quality on standard MRI scanners, enabling high-quality DWI without specialized hardware.

Area of Science:

  • Medical Imaging
  • Radiology
  • Biophysics

Background:

  • Diffusion-weighted MRI (DWI) is highly susceptible to motion artifacts.
  • Motion during DWI acquisition can significantly degrade image quality and diagnostic accuracy.
  • Existing methods for motion artifact reduction have limitations.

Purpose of the Study:

  • To evaluate the effectiveness of pulse triggering and navigator echo correction in reducing motion artifacts in DWI.
  • To compare the performance of these techniques across DWI sequences with varying echo readouts (one, three, and five echoes).
  • To introduce an objective measure, "artefacticity," for quantifying motion-induced image artifacts.

Main Methods:

  • Implementation of pulse triggering and navigator echo correction in conventional DWI sequences.
  • Acquisition of DWI data with one, three, and five echoes in five healthy volunteers.
  • Objective assessment of image quality using the defined "artefacticity" metric.

Main Results:

  • Pulse triggering and navigator echo correction significantly reduced motion artifacts in DWI.
  • Both techniques demonstrably improved overall image quality.
  • The benefits were observed across DWI sequences with different echo numbers.

Conclusions:

  • Pulse triggering and navigator echo correction are effective methods for enhancing DWI quality.
  • These techniques enable high-quality DWI acquisition on standard MRI scanners.
  • No specialized gradient hardware is required for implementing these motion correction strategies.

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