Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/1900179.1900252acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
research-article

A new visualization framework of dental CT images for orthodontics

Published: 12 December 2010 Publication History

Abstract

Dental CT images present complete information for tooth structures including both crown and root parts. 3D visualization of teeth from CT images provides important assistance for dentists performing orthodontic surgery and treatment. In the conventional visualization framework, volume rendering is applied for the tooth and skull visualization. The appearance of the rendered objects can be changed by adjusting the color transfer function and the opacity transfer function. Moreover, the marching cube method is applied to construct the 3D surface from the volume dataset. However, the constructed surface model takes the tooth and skull as a whole object. The individual tooth cannot be manipulated independently, which does not fit the requirement for the orthodontic simulations. To this end, we propose a new visualization framework to render the skull and tooth independently. Several key modules are addressed including initialization, individual tooth segmentation, 3D visualization and 3D tooth manipulation. Experimental results on both fan beam CT and cone beam CT datasets show that the proposed method is efficient for the orthodontic simulations.

References

[1]
Al-Rawi, B., Hassan, B., Vandenberge, B., and Jacobs, R. 2010. Accuracy assessment of three-dimensional surface reconstructions of teeth from cone beam computed tomography scans. Journal of Oral Rehabilitation, in press.
[2]
Bishara, S. E. 2001. Textbook of orthodontics. W. B. Saunders Company.
[3]
Buchaillard, S. I., Ong, S. H., Payan, Y., and Foong, K. 2007. 3d statistical models for tooth surface reconstruction. Comput. Biol. Med. 37, 10, 1461--1471.
[4]
Gao, H., and Chae, O. 2008. Automatic tooth region separation for dental ct images. In ICCIT '08: Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology, IEEE Computer Society, Washington, DC, USA, 897--901.
[5]
Gao, H., and Chae, O. 2010. Individual tooth segmentation from ct images using level set method with shape and intensity prior. Pattern Recogn. 43, 7, 2406--2417.
[6]
Gateno, J., Xia, J., Teichgraeber, J., and Rosen, A. 2003. A new technique for the creation of a computerized composite skull model. J Oral Maxillofac Surg 61, 2, 222--7.
[7]
Hajeer, M. Y., Millett, D. T., Ayoub, A. F., and Siebert, J. P. 2004. Current products and practices applications of 3d imaging in orthodontics:: Part ii. Journal of Orthodontics 31, 154--162.
[8]
Jones, M. W., and Chen, M. 1994. A new approach to the construction of surfaces from contour data. Comput. Graph. Forum 13, 3, 75--84.
[9]
Kondo, T., Ong, S. H., and Foong, K. W. C. 2004. Tooth segmentation of dental study models using range images. IEEE Trans. Med. Imaging 23, 3, 350--362.
[10]
Li, C., Xu, C., Gui, C., and Fox, M. D. 2005. Level set evolution without re-initialization: a new variational formulation. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 1, 430--436.
[11]
Lorensen, W. E., and Cline, H. E. 1987. Marching cubes: A high resolution 3d surface construction algorithm. Computer Graphics 21, 4.
[12]
Macchi, A., Carrafiello, G., Cacciafesta, V., and Norcini, A. 2006. Three-dimensional digital modeling and setup. Am J Orthod Dentofacial Orthop 129, 605--610.
[13]
Marsan, A. L., and Dutta, D. 1999. Computational techniques for automatically tiling and skinning branched objects. Computers & Graphics 23, 1, 111--126.
[14]
Peluso, M. J., Josell, S. D., Levine, S. W., and Lorei, B. J. 2004. Digital models: An introduction. Semin Orthod 10, 226--238.
[15]
Ryu, J. H., Kim, H. S., and Lee, K. H. 2004. Contour-based algorithms for generating 3d cad models from medical images. Semin Orthod 24, 112--119.
[16]
Sameh, M. Y., Aly, A. F., David, T., and Allan, G. F. 2000. A robust 3-d reconstruction system for human jaw modeling. In MICCAI, vol. 19, 538--547.
[17]
Tohnak, S., Mehnert, A. J. H., Mahoney, M., and Crozier, S. 2007. Synthesizing dental radiographs for human identification. J Dent Res 86, 11, 1057--1062.

Cited By

View all
  • (2018)A Survey of Three-dimensional Reconstruction Methods for Tooth Models2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)10.1109/ICSPCC.2018.8567760(1-6)Online publication date: Sep-2018
  • (2017)Research and primary evaluation of an automatic fusion method for multisource tooth crown dataInternational Journal for Numerical Methods in Biomedical Engineering10.1002/cnm.287833:11Online publication date: 11-May-2017
  • (2015)Combining volumetric dental CT and optical scan data for teeth modelingComputer-Aided Design10.1016/j.cad.2015.04.00867:C(24-37)Online publication date: 1-Oct-2015
  • Show More Cited By
  1. A new visualization framework of dental CT images for orthodontics

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    VRCAI '10: Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
    December 2010
    399 pages
    ISBN:9781450304597
    DOI:10.1145/1900179
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 December 2010

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. dental CT image
    2. orthodontic simulation
    3. segmentation
    4. visualization

    Qualifiers

    • Research-article

    Conference

    VRCAI '10
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 51 of 107 submissions, 48%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 14 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2018)A Survey of Three-dimensional Reconstruction Methods for Tooth Models2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)10.1109/ICSPCC.2018.8567760(1-6)Online publication date: Sep-2018
    • (2017)Research and primary evaluation of an automatic fusion method for multisource tooth crown dataInternational Journal for Numerical Methods in Biomedical Engineering10.1002/cnm.287833:11Online publication date: 11-May-2017
    • (2015)Combining volumetric dental CT and optical scan data for teeth modelingComputer-Aided Design10.1016/j.cad.2015.04.00867:C(24-37)Online publication date: 1-Oct-2015
    • (2014)Tooth model reconstruction based upon data fusion for orthodontic treatment simulationComputers in Biology and Medicine10.1016/j.compbiomed.2014.02.00148(8-16)Online publication date: May-2014

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media