IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v12y2009i5p491-499.html
   My bibliography  Save this article

The influence of aortic dimensions on calculated wall shear stress in the mouse aortic arch

Author

Listed:
  • Bram Trachet
  • Abigail Swillens
  • Denis Van Loo
  • Christophe Casteleyn
  • Anne De Paepe
  • Bart Loeys
  • Patrick Segers

Abstract

In this paper, the influence of the aortic dimensions of an investigated mouse on its resulting wall shear stress (WSS) was studied. A numerical model of a mouse aortic arch was created based on a micro-CT scan of a vascular corrosion cast of an 8-week-old wild type mouse. This model was then rescaled to obtain five models with aortic root diameters corresponding to five different stages in the mouse life cycle varying from late fetal (0.7 mm) to old adult (1.5 mm). Consistent with literature, WSS values much higher than those normally encountered in humans were found. WSS was found to decrease rapidly in early life stages and to reach a plateau in adulthood, thus supporting a mediating role for WSS in arterial growth. Our results show that WSS values for mice should be interpreted very cautiously, and if possible an animal-specific geometry with animal-specific boundary conditions should be used.

Suggested Citation

  • Bram Trachet & Abigail Swillens & Denis Van Loo & Christophe Casteleyn & Anne De Paepe & Bart Loeys & Patrick Segers, 2009. "The influence of aortic dimensions on calculated wall shear stress in the mouse aortic arch," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(5), pages 491-499.
    • Handle: RePEc:taf:gcmbxx:v:12:y:2009:i:5:p:491-499
    DOI: 10.1080/10255840802695445
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255840802695445
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255840802695445?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Bert Vandeghinste & Stefaan Vandenberghe & Chris Vanhove & Steven Staelens & Roel Van Holen, 2013. "Low-Dose Micro-CT Imaging for Vascular Segmentation and Analysis Using Sparse-View Acquisitions," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.

    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:taf:gcmbxx:v:12:y:2009:i:5:p:491-499. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    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.