| 講演抄録／キーワード |
| 講演名 |
2022-12-12 14:20
［ポスター講演］[Poster Presentation] Non-invasive non-contact gingival thickness imaging using visible light and near infrared light
○Ryotaro Mori・Keiichiro Kagawa（Shizuoka Univ.）・Jun Tanida（Osaka Univ.）・Chizuko Ogata（Osaka Dental Univ.） |
| 抄録 |
（和） |
Gingival thickness is important information in periodontal surgery and gingival recession. In this study, we propose a non-invasive non-contact method for estimating the gingival thickness, focusing on the fact that the absorption and scattering coefficients in living tissues depend on the wavelength. We estimated a gingival thickness map using multi-wavelength reflectance images measured with uniform illumination whose wavelength ranged from 400 nm to 1 um. We used a three-layer neural network for a gingival thickness estimation. |
| （英） |
Gingival thickness is important information in periodontal surgery and gingival recession. In this study, we propose a non-invasive non-contact method for estimating the gingival thickness, focusing on the fact that the absorption and scattering coefficients in living tissues depend on the wavelength. We estimated a gingival thickness map using multi-wavelength reflectance images measured with uniform illumination whose wavelength ranged from 400 nm to 1 um. We used a three-layer neural network for a gingival thickness estimation. |
| キーワード |
（和） |
gingival thickness / Monte Carlo simulation / diffuse reflectance spectroscopy / neural network / / / / |
| （英） |
gingival thickness / Monte Carlo simulation / diffuse reflectance spectroscopy / neural network / / / / |
| 文献情報 |
映情学技報, vol. 46, no. 41, IST2022-56, pp. 47-48, 2022年12月. |
| 資料番号 |
IST2022-56 |
| 発行日 |
2022-12-05 (IST) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| PDFダウンロード |
|