Visualization of Tooth for Non-Destructive Evaluation from CT Images

  • Gao, Hui (Department of Computer Engineering, Kyung Hee University) ;
  • Chae, Oksam (Department of Computer Engineering, Kyung Hee University)
  • Published : 2009.06.30

Abstract

This paper reports an effort to develop 3D tooth visualization system from CT sequence images as a part of the non-destructive evaluation suitable for the simulation of endodontics, orthodontics and other dental treatments. We focus on the segmentation and visualization for the individual tooth. In dental CT images teeth are touching the adjacent teeth or surrounded by the alveolar bones with similar intensity. We propose an improved level set method with shape prior to separate a tooth from other teeth as well as the alveolar bones. Reconstructed 3D model of individual tooth based on the segmentation results indicates that our technique is a very conducive tool for tooth visualization, evaluation and diagnosis. Some comparative visualization results validate the non-destructive function of our method.

Keywords

References

  1. Hosntalab, M., Zoroofi, R. A., Tehrani-Fard, A. A. and Shirani, Gh. (2008) Segmentation of Teeth in CT Volumetric Dataset by Panoramic Projection and Variational Level Set, Int. J. CARS, Vol. 3, pp. 257-265 https://doi.org/10.1007/s11548-008-0230-9
  2. Jones, M. W. and Chen, M. (1994) A New Approach to the Construction of Surfaces from Contour Data, Eurographics, Vol. 13, No.3, pp. 75-84
  3. Kondo, T., Ong, S. H. and Foong, K. W. C. (2004) Tooth Segmentation of Dental Study Models Using Range Images, IEEE Trans. on Medical Imaging, Vol. 23, pp. 350-362 https://doi.org/10.1109/TMI.2004.824235
  4. Kruger, J. and Westermann, R. (2003) Acceleration Techniques for GPU-Based Volume Rendering, Proceedings of the 14th IEEE Visualization Conference, pp. 287-292
  5. Li, C., Xu, C., Gui, C. and Fox, M. D. (2005) Level Set Evolution without Re-Initialization: A New Variational Formulation, Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 430-436
  6. Malladi, R., Sethian, J. A. and Vemuri, B. C. (1995) Shape Modeling with front Propagation: A Level Set Approach, IEEE Trans. Patt. Anal. Mach. Intell, Vol. 17, pp. 158-175 https://doi.org/10.1109/34.368173
  7. Nomir, O. and Abdel-Mottaleb, M. (2005) A System for Human Identification from X-ray Dental Rradiographs, Pattern Recognition, Vol. 38, pp. 1295-1305 https://doi.org/10.1016/j.patcog.2004.12.010
  8. Scarfe, W. C., Farman, A. G. and Sukovic, P. (2006) Clinical Applications of Cone-Beam Computed Tomography in Dental Practice, J. Can. Dent. Assoc., Vol. 72, No.1, pp. 75-80