IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0152472.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0152472
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0152472&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0152472?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sebastian P. H. Speer & Laetitia Mwilambwe-Tshilobo & Lily Tsoi & Shannon M. Burns & Emily B. Falk & Diana I. Tamir, 2024. "Hyperscanning shows friends explore and strangers converge in conversation," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0152472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.