IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0150161.html
   My bibliography  Save this article

Assessment of the Characteristics of Orientation Distribution Functions in HARDI Using Morphological Metrics

Author

Listed:
  • Chang-yu Sun
  • Yue-min Zhu
  • Chun-yu Chu
  • Feng Yang
  • Wan-yu Liu
  • Julie R Korenberg
  • Edward W Hsu

Abstract

Orientation distribution functions (ODFs) are widely used to resolve fiber crossing problems in high angular resolution diffusion imaging (HARDI). The characteristics of the ODFs are often assessed using a visual criterion, although the use of objective criteria is also reported, which are directly borrowed from classic signal and image processing theory because they are intuitive and simple to compute. However, they are not always pertinent for the characterization of ODFs. We propose a more general paradigm for assessing the characteristics of ODFs. The idea consists in regarding an ODF as a three-dimensional (3D) point cloud, projecting the 3D point cloud onto an angle-distance map, constructing an angle-distance matrix, and calculating metrics such as length ratio, separability, and uncertainty. The results from both simulated and real data show that the proposed metrics allow for the assessment of the characteristics of ODFs in a quantitative and relatively complete manner.

Suggested Citation

  • Chang-yu Sun & Yue-min Zhu & Chun-yu Chu & Feng Yang & Wan-yu Liu & Julie R Korenberg & Edward W Hsu, 2016. "Assessment of the Characteristics of Orientation Distribution Functions in HARDI Using Morphological Metrics," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-18, February.
    • Handle: RePEc:plo:pone00:0150161
    DOI: 10.1371/journal.pone.0150161
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0150161
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0150161&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0150161?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
    ---><---

    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:pone00:0150161. 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.