IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0130730.html
   My bibliography  Save this article

Nonrigid Registration Regularized by Shape Information: Application to Atlas Construction of Cardiac CT Images

Author

Listed:
  • Yunfei Zha
  • Xuesong Lu
  • Li Wang
  • Rongqian Yang
  • Shanxing Ou
  • Dong Xing
  • Defeng Wang

Abstract

Cardiac atlases play an important role in the computer-aided diagnosis of cardiovascular diseases, in particular they need to deal with large and highly variable image datasets. In this paper, we propose a new nonrigid registration algorithm incorporating shape information, to produce comprehensive atlases. For one thing, the multiscale gradient orientation features of images are combined to form the construction of multifeature mutual information. Additionally, the shape information of multiple-objects in images is incorporated into the cost function for registration. We demonstrate the merits of the new registration algorithm on the 3D data sets of 15 patients. The experimental results show that the new registration algorithm can outperform the conventional intensity-based registration method. The obtained atlas can represent the cardiac structures more accurately.

Suggested Citation

  • Yunfei Zha & Xuesong Lu & Li Wang & Rongqian Yang & Shanxing Ou & Dong Xing & Defeng Wang, 2015. "Nonrigid Registration Regularized by Shape Information: Application to Atlas Construction of Cardiac CT Images," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-11, June.
    • Handle: RePEc:plo:pone00:0130730
    DOI: 10.1371/journal.pone.0130730
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130730
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0130730&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0130730?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:pone00:0130730. 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.