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Related Experiment Videos

Correction of eddy current-induced artefacts in diffusion tensor imaging using iterative cross-correlation.

M E Bastin1

  • 1Department of Medical Physics and Medical Engineering, University of Edinburgh, Western General Hospital, UK. meb@skull.dcn.ed.ac.uk

Magnetic Resonance Imaging
|August 27, 1999
PubMed
Summary

Geometric distortions in diffusion tensor imaging are corrected using iterative cross-correlation (ICC). This method accurately corrects high b-value diffusion-weighted images (DWIs) without needing low b-value extrapolation, improving diffusion quantification.

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Area of Science:

  • Magnetic Resonance Imaging
  • Medical Physics
  • Neuroimaging

Background:

  • Echo-planar images in diffusion tensor imaging (DTI) suffer geometric distortions from eddy currents.
  • These distortions confound accurate quantification of diffusion coefficients and anisotropy measures.

Purpose of the Study:

  • To extend the iterative cross-correlation (ICC) method for correcting high b-value diffusion-weighted images (DWIs).
  • To enable accurate DTI without extrapolating distortion parameters from low b-value images.

Main Methods:

  • Monte Carlo simulations of synthetic brain images to determine correction limits.
  • Investigated cerebrospinal fluid (CSF) signal removal to extend correction range.
  • Applied ICC distortion parameters from water phantom calibrations to human volunteer DTI data.

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Main Results:

  • Direct ICC correction is accurate up to Tr(b) ≈ 300 s mm(-2).
  • CSF removal extends accurate correction to Tr(b) ≈ 2000 s mm(-2).
  • ICC parameters from phantom calibrations effectively corrected geometric distortions in human volunteer DWIs.

Conclusions:

  • The ICC algorithm can correct distorted high b-value DWIs without additional low b-value images.
  • This simplifies measuring the apparent diffusion tensor (D) using fewer DWIs.
  • Enables implementation in quantitative patient examinations for improved DTI accuracy.