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Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data
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 curv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907432/ https://www.ncbi.nlm.nih.gov/pubmed/27300554 http://dx.doi.org/10.1371/journal.pone.0156976 |
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author | Luo, Ting Shi, Changrong Zhao, Xing Zhao, Yunsong Xu, Jinqiu |
author_facet | Luo, Ting Shi, Changrong Zhao, Xing Zhao, Yunsong Xu, Jinqiu |
author_sort | Luo, Ting |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4907432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49074322016-07-18 Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data Luo, Ting Shi, Changrong Zhao, Xing Zhao, Yunsong Xu, Jinqiu PLoS One Research Article 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. Public Library of Science 2016-06-14 /pmc/articles/PMC4907432/ /pubmed/27300554 http://dx.doi.org/10.1371/journal.pone.0156976 Text en © 2016 Luo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Luo, Ting Shi, Changrong Zhao, Xing Zhao, Yunsong Xu, Jinqiu Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data |
title | Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data |
title_full | Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data |
title_fullStr | Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data |
title_full_unstemmed | Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data |
title_short | Automatic Synthesis of Panoramic Radiographs from Dental Cone Beam Computed Tomography Data |
title_sort | automatic synthesis of panoramic radiographs from dental cone beam computed tomography data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907432/ https://www.ncbi.nlm.nih.gov/pubmed/27300554 http://dx.doi.org/10.1371/journal.pone.0156976 |
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