Total views : 372

Automatic Segmentation of Lower Jaw and Mandibular Bone in Digital Dental Panoramic Radiographs


  • Bharath University, Chennai – 600073, Tamil Nadu, India
  • Cummins College of Engineering for Women, Pune - 411052, Maharashtra, India


Objectives: Panoramic x-ray is a medical imaging technique used in dentistry. This paper aims to present fully automatic segmentation algorithm to extract lower jaw and mandible from panoramic x-ray. Methods/Analysis: Panoramic x-rays provide features of various diseases like advanced periodontal diseases, cysts, tumors, impacted teeth, fractures in lower or upper jaw, etc. Image processing techniques are applied on these images to detect diseases automatically. Segmentation is an inevitable step in automation to extract disease features. Majority existing literature use semi-automatic method for segmentation of panoramic x-ray. The algorithm proposed in this paper is fully automatic method of segmentation. Findings: Panoramic x-rays give entire view of mouth and facilitate assessment of hard tissue structures of the facial area rather than assessment of dental carries. Segmentation of panoramic x-rays is an inevitable step in automating diagnosis of oral disorders like, tumor, cysts, fracture, etc. In this paper, an algorithm is developed for automatic segmentation of lower jaw and then mandibular bone in dental digital panoramic x-ray. Dental digital panoramic x-ray is a good quality image which does not require noise removal. The segmentation algorithm uses novel strips method where input image is subdivided in number of strips. These strips are further processed to separate lower jaw and mandible from input image. The algorithm is fully automatic and does not involve human intervention at any level. Paper presents analysis of number of strips as 3, 5, 7 and 9. The algorithm presented in this paper gives 93% success for segmentation of lower jaw and 90% success in segmentation of mandible structure when strip count is 5. Applications/Improvement: Strip method focuses ROI and ignores components like teeth, spinal cord shadow, etc. Central strip is useful to segment lower jaw whereas side strips are useful to detect mandible edge points.


Automatic Segmentation, Mandible, Digital Dental Panoramic X-ray, Lower Jaw, Orthopantomograph (OPG).

Full Text:

 |  (PDF views: 498)


  • Kim J, Amar S. Periodontal disease and systemic conditions: A bidirectional relationship, NIH Public Access. Odontology. 2006; 94(1):10–21.
  • Veronese E, Veronese M, Sivolella S, Grisan E. A radiographic-based method for marginal bone loss measurement in dental implants. 2013 IEEE 10th International Symposium on Biomedical Imaging; San Francisco, CA. 2013. p. 129–32.
  • Antila K, Lilja M, Kake M, Lotjonen J. Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. 30th Annual International Conference on IEEE Engineering in Medicine and Biology Society Vancouver; British Columbia. 2008. p. 490–93.
  • Naik A, Tikhe S, Bhide S, Kaliyamurthie KP, Saravanan T. Algorithm to detect fracture from opg images using texture analysis. 6th IEEE International Advance Computing Conference (IACC-2016); 2016.
  • Mikulka J, Kabrda M, Gescheidtova E, Peina V. Classification of Jawbone Cysts via Orthopantomogram. 2012 35th International Conference on Telecommunications and Signal Processing (TSP); Prague. 2012. p. 449–502.
  • Allen PD, Graham J, Farnell DJJ, Harrison EJ, Jacobs R, Nicopolou-Karayianni K, Lindh C, van der Stelt PF, Horner K, Devlin H. Detecting reduced bone mineral density from dental radiographs using statistical shape models. IEEE Transactions on Information Technology in Biomedicine. 2007; 11(6):601–10.
  • Roberts MG, GrahamJ, Devlin H. Improving the detection of osteoporosis from dental radiographs using active appearance models. 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro; Rotterdam. 2010. p. 440–3.
  • Asano A, Tambe T, Taguchi A, Asano CM, Nakamoto T, Tanimoto K, Hinamoto T, Muneyasu M. Extraction of trabecular structures of mandible excluding tooth roots on dental panoramic radiographs using mathematical morphology.18th International Conference on Pattern Recognition (ICPR’2006); 2006. p. 988–91.
  • Roberts MG, Graham J, Devlin H. Image texture in dental panoramic radiographs as a potential biomarker of osteoporosis. IEEE Transactions on Biomedical Engineering. 2013; 60(9):2384–92.
  • Kavitha MS, Samopa F, Asano A, Taguchi A, Sanada M. Computer-aided measurement of mandibular cortical width on dental panoramic radiographs for identifying osteoporosis. Journal of Investigative and Clinical Dentistry. 2012; 3(1):36–44.
  • Karthikeyan B, Vaithiyanathan V, Venkatraman B, Menaka M. Analysis of image segmentation for radiographic images. Indian Journal of Science and Technology. 2012 Nov; 5(11):3660–64. DOI: 10.17485/ijst/2012/v5i11/30657.


  • »

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.