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Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6208-11. doi: 10.1109/IEMBS.2011.6091533.

An automatic detection method for carotid artery calcifications using top-hat filter on dental panoramic radiographs.

Author information

1
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, Gifu 501-1194, Japan. gashira@fjt.info.gifu-u.ac.jp

Abstract

The purpose of this study is to develop an automated carotid artery calcification (CAC) detection scheme 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 CACs 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 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. Thirty-four DPRs were used to evaluate the proposed scheme. The sensitivity for the detection of CACs was 93.6% with 4.4 FPs per image. Experimental results showed that our computer-aided detection scheme may be useful to detect CACs.

PMID:
22255757
DOI:
10.1109/IEMBS.2011.6091533
[Indexed for MEDLINE]

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