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DOI: 10.14569/IJACSA.2018.091205
PDF

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), Volume 9 Issue 12, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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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: 3D Printing; personalized; archwire groove model; orthodontic treatment

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



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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