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Automated Recognition of Pathological Resorption Zones in Human Jaw Bones by Computed Tomography

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Biomedical Engineering Aims and scope

Results of a study of automatic recognition of pathological resorption zones in the image of the jawbone are presented. A criterion for the presence of pathological resorption in the bone is formulated based on statistical investigation. The pathological resorption search method is described as a sequence of algorithmic steps.

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Authors and Affiliations

  1. Ural Federal University, Ekaterinburg, Russia

    M. B. Putrik & I. N. Antsygin

  2. Center for Study of Regional Dental Problems and “Uraldent” Clinic, Ekaterinburg, Russia

    J. E. Lavrentyeva

Authors
  1. M. B. Putrik
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  2. J. E. Lavrentyeva
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  3. I. N. Antsygin
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Corresponding author

Correspondence to M. B. Putrik.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 48, No. 3, May – Jun., 2014, pp. 21 – 24.

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Putrik, M.B., Lavrentyeva, J.E. & Antsygin, I.N. Automated Recognition of Pathological Resorption Zones in Human Jaw Bones by Computed Tomography. Biomed Eng 48, 135–139 (2014). https://doi.org/10.1007/s10527-014-9437-y

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  • DOI: https://doi.org/10.1007/s10527-014-9437-y

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