Share Email Print
cover

Proceedings Paper

An automatic early stage alveolar-bone-resorption evaluation method on digital dental panoramic radiographs
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Periodontal disease is a kind of typical dental diseases, which affects many adults. The presence of alveolar bone resorption, which can be observed from dental panoramic radiographs, is one of the most important signs of the progression of periodontal disease. Automatically evaluating alveolar-bone resorption is of important clinic meaning in dental radiology. The purpose of this study was to propose a novel system for automated alveolar-bone-resorption evaluation from digital dental panoramic radiographs for the first time. The proposed system enables visualization and quantitative evaluation of alveolar bone resorption degree surrounding the teeth. It has the following procedures: (1) pre-processing for a test image; (2) detection of tooth root apices with Gabor filter and curve fitting for the root apex line; (3) detection of features related with alveolar bone by using image phase congruency map and template matching and curving fitting for the alveolar line; (4) detection of occlusion line with selected Gabor filter; (5) finally, evaluation of the quantitative alveolar-bone-resorption degree in the area surrounding teeth by simply computing the average ratio of the height of the alveolar bone and the height of the teeth. The proposed scheme was applied to 30 patient cases of digital panoramic radiographs, with alveolar bone resorption of different stages. Our initial trial on these test cases indicates that the quantitative evaluation results are correlated with the alveolar-boneresorption degree, although the performance still needs further improvement. Therefore it has potential clinical practicability.

Paper Details

Date Published: 18 March 2014
PDF: 9 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90353G (18 March 2014); doi: 10.1117/12.2044348
Show Author Affiliations
Min Zhang, Gifu Univ. (Japan)
Akitoshi Katsumata, Asahi Univ. (Japan)
Chisako Muramatsu, Gifu Univ. (Japan)
Takeshi Hara, Gifu Univ. (Japan)
Hiroki Suzuki, Asahi Univ. (Japan)
Hiroshi Fujita, Gifu Univ. (Japan)


Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

© SPIE. Terms of Use
Back to Top