Paper Abstract and Keywords |
Presentation |
2011-01-20 11:30
An automatic detection method for carotid artery calcification using top-hat filter on dental panoramic radiographs Tsuyoshi Sawagashira, Tatsuro Hayashi, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Chisako Muramatsu, Xiangrong Zhou (Gifu Univ.), Yukihiro Iida, Masami Fujishita, Kiyoji Katagi (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2010-98 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The purpose of this study is to develop an automated carotid artery calcification (CAC) detection method on dental panoramic radiographs (DPRs). The CAC is one of the indices for predicting the progress of arteriosclerosis. First, regions of interest (ROIs) that include CAC were determined on the basis of inflection points of the mandibular contour. Initial CAC candidates were detected by a grayscale top-hat filter and simple grayscale thresholding technique. Finally, a rule-based approach and support vector machine to reduce the number of false positive (FP) findings were applied using features such as area, location, and circularity. 34 DPRs were used to evaluate the proposed scheme. The sensitivity for the detection of CAC was 93.6% with 4.4 FPs per image. Experimental results showed that our computer-aided detection scheme may be useful to detect CAC. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Carotid artery / Calcifucation / Dental panoramic radiograph / Grayscale top-hat filter / Computer-aided Detection / / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 364, MI2010-98, pp. 93-96, Jan. 2011. |
Paper # |
MI2010-98 |
Date of Issue |
2011-01-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2010-98 |
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