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Related Experiment Videos

Sampling and reconstruction effects due to motion in diffusion-weighted interleaved echo planar imaging.

D Atkinson1, D A Porter, D L Hill

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

Magnetic Resonance in Medicine
|July 14, 2000
PubMed
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Subject motion in diffusion imaging causes sampling errors. Repeating acquisitions and using matrix inversion improves image quality and enables clear stroke lesion localization.

Area of Science:

  • Magnetic Resonance Imaging
  • Diffusion-Weighted Imaging
  • Neuroimaging

Background:

  • Subject motion during diffusion-weighted interleaved echo-planar imaging (DW-EPI) introduces k-space offsets.
  • These offsets lead to irregular sampling in the phase-encode direction, violating the Nyquist condition in ungated sequences.
  • This is particularly problematic for accurate neuroimaging, including stroke detection.

Purpose of the Study:

  • To address k-space undersampling caused by subject motion in DW-EPI.
  • To develop a robust reconstruction method for irregularly sampled diffusion MRI data.
  • To improve the resolution and signal-to-noise ratio of diffusion-weighted images and apparent diffusion coefficient (ADC) maps.

Main Methods:

  • Monitoring k-space shifts using 2D navigator echoes for each image.

Related Experiment Videos

  • Implementing a strategy of combining data from four repeat acquisitions to satisfy the Nyquist condition.
  • Utilizing a matrix inversion technique for reconstructing irregularly sampled data.
  • Analyzing residual artifacts to identify sources of motion.

    • Main Results:

    • The Nyquist condition was satisfied in all but 1% of images when combining four repeat acquisitions.
    • Matrix inversion reconstruction proved stable and improved signal-to-noise ratio due to repeated acquisitions.
    • High-resolution isotropic diffusion-weighted images and average ADC maps were generated.
    • Clear localization of a stroke lesion was achieved.
    • Slowly varying ADC artifacts attributed to pulsatile brain motion were observed.

    Conclusions:

    • Combining repeat acquisitions and employing matrix inversion is an effective method to correct for motion-induced artifacts in DW-EPI.
    • This technique significantly enhances image quality, enabling precise localization of pathologies like stroke.
    • Further investigation into non-rigid brain motion is warranted to fully eliminate residual artifacts.