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Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images

Author

Listed:
  • Jeffrey Mark Treiber
  • Nathan S White
  • Tyler Christian Steed
  • Hauke Bartsch
  • Dominic Holland
  • Nikdokht Farid
  • Carrie R McDonald
  • Bob S Carter
  • Anders Martin Dale
  • Clark C Chen

Abstract

Introduction: Diffusion Weighted Imaging (DWI), which is based on Echo Planar Imaging (EPI) protocols, is becoming increasingly important for neurosurgical applications. However, its use in this context is limited in part by significant spatial distortion inherent to EPI. Method: We evaluated an efficient algorithm for EPI distortion correction (EPIC) across 814 DWI scans from 250 brain tumor patients and quantified the magnitude of geometric distortion for whole brain and multiple brain regions. Results: Evaluation of the algorithm’s performance revealed significantly higher mutual information between T1-weighted pre-contrast images and corrected b = 0 images than the uncorrected b = 0 images (p

Suggested Citation

  • Jeffrey Mark Treiber & Nathan S White & Tyler Christian Steed & Hauke Bartsch & Dominic Holland & Nikdokht Farid & Carrie R McDonald & Bob S Carter & Anders Martin Dale & Clark C Chen, 2016. "Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-9, March.
    • Handle: RePEc:plo:pone00:0152472
    DOI: 10.1371/journal.pone.0152472
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    Cited by:

    1. Farnaz Zamani Esfahlani & Joshua Faskowitz & Jonah Slack & Bratislav Mišić & Richard F. Betzel, 2022. "Local structure-function relationships in human brain networks across the lifespan," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

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