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Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data

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  • Ting Luo
  • Changrong Shi
  • Xing Zhao
  • Yunsong Zhao
  • Jinqiu Xu

Abstract

In this paper, we propose an automatic method of synthesizing panoramic radiographs from dental cone beam computed tomography (CBCT) data for directly observing the whole dentition without the superimposition of other structures. This method consists of three major steps. First, the dental arch curve is generated from the maximum intensity projection (MIP) of 3D CBCT data. Then, based on this curve, the long axial curves of the upper and lower teeth are extracted to create a 3D panoramic curved surface describing the whole dentition. Finally, the panoramic radiograph is synthesized by developing this 3D surface. Both open-bite shaped and closed-bite shaped dental CBCT datasets were applied in this study, and the resulting images were analyzed to evaluate the effectiveness of this method. With the proposed method, a single-slice panoramic radiograph can clearly and completely show the whole dentition without the blur and superimposition of other dental structures. Moreover, thickened panoramic radiographs can also be synthesized with increased slice thickness to show more features, such as the mandibular nerve canal. One feature of the proposed method is that it is automatically performed without human intervention. Another feature of the proposed method is that it requires thinner panoramic radiographs to show the whole dentition than those produced by other existing methods, which contributes to the clarity of the anatomical structures, including the enamel, dentine and pulp. In addition, this method can rapidly process common dental CBCT data. The speed and image quality of this method make it an attractive option for observing the whole dentition in a clinical setting.

Suggested Citation

  • Ting Luo & Changrong Shi & Xing Zhao & Yunsong Zhao & Jinqiu Xu, 2016. "Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-20, June.
  • Handle: RePEc:plo:pone00:0156976
    DOI: 10.1371/journal.pone.0156976
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    References listed on IDEAS

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    1. Yang, Min & Liu, Qi & Zhao, Hongsheng & Li, Ziqiang & Liu, Bing & Li, Xingdong & Meng, Fanyong, 2014. "Automatic X-ray inspection for escaped coated particles in spherical fuel elements of high temperature gas-cooled reactor," Energy, Elsevier, vol. 68(C), pages 385-398.
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