Abstract
Radiographs, which visualise human dentition as a single panorama photograph, are commonly used in prognosis and diagnosis in dental care and biometric individual identification. The automatics analysis of these images can provide useful information about patients. So, this paper proposes a method of an introductory phase of teeth segmentation: selection of a region of interest which contains every tooth in the pantomograph. The proposed method finds an area containing all the teeth and the line dividing the upper and lower jaws, called teeth line, using adaptive power-law transformation, Hölder exponent, energy and entropy of the pantomograph. The teeth area is found correctly in 81.9%, while teeth line in 34.0%. The method is the introductory step in a single teeth segmentation, dentition evaluation according to presence of strong dental interventions and automatics generation of dental score for a patient.
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Acknowledgement
This study was supported by the 1PW13 grant from Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences.
We are grateful to the NZOZ Centrum Leczenia Wad Zgryzu (Luczek St, Warsaw) for sharing the radiographs.
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Zak, J. et al. (2018). The Method of Teeth Region Detection in Panoramic Dental Radiographs. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_31
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DOI: https://doi.org/10.1007/978-3-319-59162-9_31
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