IEICE TRANSACTIONS on Information
An Automatic Detection Method for Carotid Artery Calcifications Using Top-Hat Filter on Dental Panoramic Radiographs
Summary :
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 are determined on the basis of inflection points of the mandibular contour. Initial CAC candidates are 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 are applied using features such as 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. Experiments show that our computer-aided detection scheme may be useful to detect CACs.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.8 pp.1878-1881
- Publication Date
- 2013/08/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.1878
- Type of Manuscript
- LETTER
- Category
- Artificial Intelligence, Data Mining
Authors
Tsuyoshi SAWAGASHIRA
Gifu University
Tatsuro HAYASHI
Gifu University
Takeshi HARA
Gifu University
Akitoshi KATSUMATA
Asahi University School of Dentistry
Chisako MURAMATSU
Gifu University
Xiangrong ZHOU
Gifu University
Yukihiro IIDA
Asahi University School of Dentistry
Kiyoji KATAGI
Asahi University Hospital
Hiroshi FUJITA
Gifu University
Keyword
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Tsuyoshi SAWAGASHIRA, Tatsuro HAYASHI, Takeshi HARA, Akitoshi KATSUMATA, Chisako MURAMATSU, Xiangrong ZHOU, Yukihiro IIDA, Kiyoji KATAGI, Hiroshi FUJITA, "An Automatic Detection Method for Carotid Artery Calcifications Using Top-Hat Filter on Dental Panoramic Radiographs" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 8, pp. 1878-1881, August 2013, doi: 10.1587/transinf.E96.D.1878.
Abstract: 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 are determined on the basis of inflection points of the mandibular contour. Initial CAC candidates are 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 are applied using features such as 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. Experiments show that our computer-aided detection scheme may be useful to detect CACs.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.1878/_p
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@ARTICLE{e96-d_8_1878,
author={Tsuyoshi SAWAGASHIRA, Tatsuro HAYASHI, Takeshi HARA, Akitoshi KATSUMATA, Chisako MURAMATSU, Xiangrong ZHOU, Yukihiro IIDA, Kiyoji KATAGI, Hiroshi FUJITA, },
journal={IEICE TRANSACTIONS on Information},
title={An Automatic Detection Method for Carotid Artery Calcifications Using Top-Hat Filter on Dental Panoramic Radiographs},
year={2013},
volume={E96-D},
number={8},
pages={1878-1881},
abstract={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 are determined on the basis of inflection points of the mandibular contour. Initial CAC candidates are 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 are applied using features such as 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. Experiments show that our computer-aided detection scheme may be useful to detect CACs.},
keywords={},
doi={10.1587/transinf.E96.D.1878},
ISSN={1745-1361},
month={August},}
Copy
TY - JOUR
TI - An Automatic Detection Method for Carotid Artery Calcifications Using Top-Hat Filter on Dental Panoramic Radiographs
T2 - IEICE TRANSACTIONS on Information
SP - 1878
EP - 1881
AU - Tsuyoshi SAWAGASHIRA
AU - Tatsuro HAYASHI
AU - Takeshi HARA
AU - Akitoshi KATSUMATA
AU - Chisako MURAMATSU
AU - Xiangrong ZHOU
AU - Yukihiro IIDA
AU - Kiyoji KATAGI
AU - Hiroshi FUJITA
PY - 2013
DO - 10.1587/transinf.E96.D.1878
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2013
AB - 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 are determined on the basis of inflection points of the mandibular contour. Initial CAC candidates are 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 are applied using features such as 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. Experiments show that our computer-aided detection scheme may be useful to detect CACs.
ER -
English
