IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v12y2009i1p45-57.html
   My bibliography  Save this article

From high-resolution CT data to finite element models: development of an integrated modular framework

Author

Listed:
  • Dieter H. Pahr
  • Philippe K. Zysset

Abstract

New ideas for the extraction of finite element (FE) models from high-resolution computed tomography datasets are presented. The multi-step approach starts with a 3D region-growing algorithm in order to extract the outer voxel based iso-surface. This information is used to compute a voxel model of the cortical shell. The next step provides triangulated surfaces of the outer bone contour. Three-dimensional deformable models using a gradient vector flow and a multi-level mesh resampling are used. These meshes are self-regularising and of high quality. A further step contains a new self correcting cortical shell thickness evaluation algorithm, which results in topological conform smooth inner and outer compact bone iso-surface meshes. Such iso-surfaces can be used for numerically efficient FE models, which are of bio-mechanical and clinical importance. Details of the approach are described and applications with respect to a human proximal femur and vertebral body are shown.

Suggested Citation

  • Dieter H. Pahr & Philippe K. Zysset, 2009. "From high-resolution CT data to finite element models: development of an integrated modular framework," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(1), pages 45-57.
  • Handle: RePEc:taf:gcmbxx:v:12:y:2009:i:1:p:45-57
    DOI: 10.1080/10255840802144105
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255840802144105
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255840802144105?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. Marco Piccinini & Joel Cugnoni & John Botsis & Giovanna Zacchetti & Patrick Ammann & Anselm Wiskott, 2014. "Factors affecting subject-specific finite element models of implant-fitted rat bone specimens: critical analysis of a technical protocol," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(13), pages 1403-1417, October.

    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:1:p:45-57. 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.