IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0233474.html
   My bibliography  Save this article

The impact of position-orientation adaptive smoothing in diffusion weighted imaging—From diffusion metrics to fiber tractography

Author

Listed:
  • Jia Yang
  • Barbara Carl
  • Christopher Nimsky
  • Miriam H A Bopp

Abstract

In contrast to commonly used approaches to improve data quality in diffusion weighted imaging, position-orientation adaptive smoothing (POAS) provides an edge-preserving post-processing approach. This study aims to investigate its potential and effects on image quality, diffusion metrics, and fiber tractography of the corticospinal tract in relation to non-post-processed and averaged data. 22 healthy volunteers were included in this study. For each volunteer five clinically applicable diffusion weighted imaging data sets were acquired and post-processed by standard averaging and POAS. POAS post-processing led to significantly higher signal-to-noise-ratios (p

Suggested Citation

  • Jia Yang & Barbara Carl & Christopher Nimsky & Miriam H A Bopp, 2020. "The impact of position-orientation adaptive smoothing in diffusion weighted imaging—From diffusion metrics to fiber tractography," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0233474
    DOI: 10.1371/journal.pone.0233474
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0233474
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0233474&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0233474?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
    ---><---

    References listed on IDEAS

    as
    1. José V Manjón & Pierrick Coupé & Luis Concha & Antonio Buades & D Louis Collins & Montserrat Robles, 2013. "Diffusion Weighted Image Denoising Using Overcomplete Local PCA," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-12, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas Schult & Till-Karsten Hauser & Uwe Klose & Helene Hurth & Hans-Heino Ehricke, 2019. "Fiber visualization for preoperative glioma assessment: Tractography versus local connectivity mapping," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-22, December.
    2. Nan-kuei Chen & Hing-Chiu Chang & Ali Bilgin & Adam Bernstein & Theodore P Trouard, 2018. "A diffusion-matched principal component analysis (DM-PCA) based two-channel denoising procedure for high-resolution diffusion-weighted MRI," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-19, April.

    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:pone00:0233474. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.