Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions

Mikko Lilja, Ville Vuorio, Kari Antila, Henri Setälä, Jorma Järnstedt, Mika Pollari

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)

    Abstract

    A 3-D reconstruction from sparse limited-angle x-ray projection data is a useful compromise between a single radiograph and a full CT reconstruction, e.g. in dental imaging. The segmentation of such volumes is desirable for clinical applications such as implantology, but the task is complicated by the inherent limited spatial validity of the reconstructions. We present an automatic model-based method for extracting the mandible from 3-D limited-angle dental x-ray reconstructions. The process includes enhancing the reconstruction, estimating the successfully reconstructed mandibular area, and the actual segmentation process. The results with 13 reconstructions are good with an average segmentation error of 0.32 mm.
    Original languageEnglish
    Title of host publication4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages1933-1936
    ISBN (Print)1-4244-0671-4, 1-4244-0672-2
    DOIs
    Publication statusPublished - 2007
    MoE publication typeA4 Article in a conference publication
    Event4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007 - Arlington, VA, United States
    Duration: 12 Apr 200715 Apr 2007

    Conference

    Conference4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007
    Country/TerritoryUnited States
    CityArlington, VA
    Period12/04/0715/04/07

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