IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v119y2003i1p75-10010.1023-a1022926305208.html
   My bibliography  Save this article

Modelling the Dynamics of Craniofacial Growth

Author

Listed:
  • Jens Starke
  • Jan Rübel
  • Christopher Lux

Abstract

An analysis, visualization and modelling of the dynamics of craniofacial growth is presented, which is based on a Karhunen–Loève decomposition of time-discrete landmark data describing the craniofacial skeleton and its growth. This allows for a clear and suggestive depiction of craniofacial growth patterns and their dynamical behaviour, which is necessary for medical diagnosis as well as for orthodontic treatment. For modelling the dynamics, a medically motivated approach based on a dynamical system with general and individual parameters is used to obtain the underlying general growth laws. The parameters are identified by a least squares method for fitting the model to the growth data which consist of a rat calvarial data set and data of a human growth study. This allows for a quantitative description of the dynamics of size and shape changes as well as a qualitative prediction of growth processes. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Jens Starke & Jan Rübel & Christopher Lux, 2003. "Modelling the Dynamics of Craniofacial Growth," Annals of Operations Research, Springer, vol. 119(1), pages 75-100, March.
    • Handle: RePEc:spr:annopr:v:119:y:2003:i:1:p:75-100:10.1023/a:1022926305208
    DOI: 10.1023/A:1022926305208
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1022926305208
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1022926305208?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.

    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:spr:annopr:v:119:y:2003:i:1:p:75-100:10.1023/a:1022926305208. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.