Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs

Kari Antila, Mikko Lilja, Martti Kalke, Jyrki Lötjönen

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

    3 Citations (Scopus)


    We present an automatic method for segmenting Cone-Beam Computerized Tomography (CBCT) volumes and synthetizing orthopantomographic, anatomically aligned views of the mandibular bone. The model-based segmentation method was developed having the characteristics of dental CBCT, severe metal artefacts, relatively high noise and high variability of the mandibular bone shape, in mind. First, we applied the segmentation method to delineate the bone. Second, we aligned a model resembling the geometry of orthopantomographic imaging according to the segmented surface. Third, we estimated the tooth orientations based on the local shape of the segmented surface. These results were used in determining the geometry of the synthetized radiograph. Segmentation was done with excellent results: with 14 samples we reached 0.57 ± 0.16 mm mean distance from hand drawn reference. The estimation of tooth orientations was accurate with error of 0.65 ± 8.0 degrees. An example of these results used in synthetizing panoramic radiographs is presented.
    Original languageEnglish
    Title of host publication2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-4244-1815-2
    ISBN (Print)978-1-4244-1814-5
    Publication statusPublished - 2008
    MoE publication typeA4 Article in a conference publication
    Event30th Annual International IEEE EMBS Conference 2008 - Vancouver, Canada
    Duration: 20 Aug 200824 Aug 2008


    Conference30th Annual International IEEE EMBS Conference 2008


    • image segmentation
    • biomedical image
    • processing
    • X-ray imaging


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