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Research Article | Open Access |

3D Printing of Personalized Archwire Groove Model for Orthodontics: Design and Implementation

Author 1: Gang Liu Author 2: He Qin Author 3: Haiyan Zhen Author 4: Bin Liu Author 5: Xiaolong Wang Author 6: Xinyao Tao
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 12 · Published 2018 · Cited by 6

DOI: 10.14569/IJACSA.2018.091205

Abstract

In traditional dental treatment, archwires are bent by orthodontists using standard methods. However, the standard models cater to patients with common oral problems, and are unsuitable for personalized orthodontic treatment, which is highly desired in many cases. A method to prepare a personalized archwire groove model is, undoubtedly, useful for orthodontic treatment in clinical diagnosis. In this study, a three-dimensional (3D) printing technology is demonstrated to achieve the personalized archwire groove model in a rapid, computed tomography image compatible manner, to assist orthodontists. This method is expected to improve the efficiency and accuracy of archwire bending and the resultant product can distribute the uniform dentofacial stress, improve the wearing comfort of the patient and further shorten the period of treatment and repair of the tooth.

Keywords

How to Cite this Article

Liu, G., Qin, H., Zhen, H., Liu, B., Wang, X., & Tao, X. (2018). 3D Printing of Personalized Archwire Groove Model for Orthodontics: Design and Implementation. International Journal of Advanced Computer Science and Applications, 9(12). https://doi.org/10.14569/IJACSA.2018.091205

Liu, Gang, et al.. "3D Printing of Personalized Archwire Groove Model for Orthodontics: Design and Implementation." International Journal of Advanced Computer Science and Applications, vol. 9, no. 12, 2018, https://doi.org/10.14569/IJACSA.2018.091205.

@article{Liu2018,
  title     = {3D Printing of Personalized Archwire Groove Model for Orthodontics: Design and Implementation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {12},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Gang Liu and He Qin and Haiyan Zhen and Bin Liu and Xiaolong Wang and Xinyao Tao},
  doi       = {10.14569/IJACSA.2018.091205},
  url       = {https://doi.org/10.14569/IJACSA.2018.091205}
}

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