Paper Abstract and Keywords |
Presentation |
2013-01-25 13:10
A method to detect carotid artery calcifications using morphological filter on dental panoramic radiographs Tsuyoshi Sawagashira, Takeshi Hara (Gifu Univ), Akitoshi Katsumata (Asahi Univ), Chisako Muramatsu, Xiangrong Zhou (Gifu Univ), Yukihiro Iida, Takashi Wakisaka, Masato Matsuoka (Asahi Univ), Hiroshi Fujita (Gifu Univ) MI2012-118 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The purpose of this study is to develop an automated scheme of carotid artery calcification (CAC) detection on dental panoramic radiographs (DPRs). The CAC is one of the indices for predicting the risk of arteriosclerosis. First, regions of interest (ROIs) that include carotid arteries were determined on the basis of inflection points of the mandibular contour. Initial CAC candidates were detected by using a grayscale top-hat filter and a simple grayscale thresholding technique. Finally, a rule-based approach and a support vector machine to reduce the number of false positive (FP) findings were applied using features such as the area, location, and circularity. A hundred DPRs were used to evaluate the proposed scheme. The sensitivity for the detection of CACs was 90% with 4.3 FPs (80% with 1.9 FPs) per image. Experimental results showed that our computer-aided detection scheme may be useful to detect CACs. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Carotid artery / Calcification / Top-hat transform / Dental panoramic radiograph / Computer-aided detection / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 411, MI2012-118, pp. 293-297, Jan. 2013. |
Paper # |
MI2012-118 |
Date of Issue |
2013-01-17 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2012-118 |
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