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Identifying the incidence level of periodontal disease through hyperspectral imaging

  • Szu-Chien Chang
  • Hao-Yi Syu
  • Yin-Lai Wang
  • Chiu-Jung Lai
  • Shuan-Yu Huang
  • Hsiang-Chen Wang
Article
  • 44 Downloads

Abstract

This study proposes a method for staging periodontal disease through hyperspectral imaging technique. The study is composed of two parts. The first part shows the spectrum of gingival images that is simulated by hyperspectral imaging systematic analysis. The second part uses the principal component score chart for staging periodontal disease based on the obtained mean simulation spectrum. The experimental results show the staging results of periodontal disease through principal component score chart, allowing us to clearly identify the spectral features of normal gingiva and mild, moderate, and severe periodontitis. Our method can identify the stage of periodontal disease accurately and has a sensitivity and specificity of approximately 0.83 and 0.938, respectively.

Keywords

Periodontal disease Optical diagnosis Hyperspectral imaging Spectral information 

Notes

Acknowledgements

This research was supported by the Ministry of Science and Technology, The Republic of China under the Grants MOST104-2221-E-194-054, 105-2923-E-194-003-MY3, 105-2314-B-037-019-MY3, 105-2112-M-194-005, and Kaohsiung Armed Forces General Hospital research project 106-23.

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of DentistryKaohsiung Armed Forces General HospitalKaohsiung CityTaiwan
  2. 2.Graduate Institute of Opto-Mechatronics and Advanced Institute of Manufacturing with High-tech InnovationsNational Chung Cheng UniversityChia-YiTaiwan
  3. 3.Department of OptometryChung Shan Medical UniversityTaichungTaiwan

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