IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v19y2016i5p507-514.html
   My bibliography  Save this article

Dental wear estimation using a digital intra-oral optical scanner and an automated 3D computer vision method

Author

Listed:
  • Agnes Batista Meireles
  • Antonio Wilson Vieira
  • Livia Corpas
  • Bart Vandenberghe
  • Flavia Souza Bastos
  • Paul Lambrechts
  • Mario Montenegro Campos
  • Estevam Barbosa de Las Casas

Abstract

The objective of this work was to propose an automated and direct process to grade tooth wear intra-orally. Eight extracted teeth were etched with acid for different times to produce wear and scanned with an intra-oral optical scanner. Computer vision algorithms were used for alignment and comparison among models. Wear volume was estimated and visual scoring was achieved to determine reliability. Results demonstrated that it is possible to directly detect submillimeter differences in teeth surfaces with an automated method with results similar to those obtained by direct visual inspection. The investigated method proved to be reliable for comparison of measurements over time.

Suggested Citation

  • Agnes Batista Meireles & Antonio Wilson Vieira & Livia Corpas & Bart Vandenberghe & Flavia Souza Bastos & Paul Lambrechts & Mario Montenegro Campos & Estevam Barbosa de Las Casas, 2016. "Dental wear estimation using a digital intra-oral optical scanner and an automated 3D computer vision method," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 19(5), pages 507-514, April.
  • Handle: RePEc:taf:gcmbxx:v:19:y:2016:i:5:p:507-514
    DOI: 10.1080/10255842.2015.1043627
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2015.1043627
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255842.2015.1043627?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.

    References listed on IDEAS

    as
    1. Flávia de Souza Bastos & Estevam Barbosa de Las Casas & Sergio Martinez Oller, 2013. "Analytical and numerical analysis of human dental occlusal contact," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(5), pages 495-503, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:19:y:2016:i:5:p:507-514. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.