In this paper, we propose a fully automatic method for extracting carotid artery contours from ultrasound images based on an active contour approach. Several contour extraction techniques have been proposed to measure carotid artery walls for early detection of atherosclerotic disease. However, the majority of these techniques require a certain degree of user interaction that demands time and effort. Our proposal automatically detects the position of the carotid artery by identifying blood flow information related to the carotid artery, and an active contour model is employed that uses initial contours placed in the detected position. Our method also applies a global energy minimization scheme to the active contour model. Experiments on clinical cases show that the proposed method automatically extracts the carotid artery contours at an accuracy close to that achieved by manual extraction.
Bunpei TOJI
Panasonic Healthcare Co., Ltd.
Jun OHMIYA
Panasonic Healthcare Co., Ltd.
Satoshi KONDO
Panasonic Healthcare Co., Ltd.
Kiyoko ISHIKAWA
Yokohama Stroke and Brain Center
Masahiro YAMAMOTO
Yokohama Stroke and Brain Center
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Bunpei TOJI, Jun OHMIYA, Satoshi KONDO, Kiyoko ISHIKAWA, Masahiro YAMAMOTO, "Fully Automatic Extraction of Carotid Artery Contours from Ultrasound Images" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 9, pp. 2493-2500, September 2014, doi: 10.1587/transinf.2013EDP7461.
Abstract: In this paper, we propose a fully automatic method for extracting carotid artery contours from ultrasound images based on an active contour approach. Several contour extraction techniques have been proposed to measure carotid artery walls for early detection of atherosclerotic disease. However, the majority of these techniques require a certain degree of user interaction that demands time and effort. Our proposal automatically detects the position of the carotid artery by identifying blood flow information related to the carotid artery, and an active contour model is employed that uses initial contours placed in the detected position. Our method also applies a global energy minimization scheme to the active contour model. Experiments on clinical cases show that the proposed method automatically extracts the carotid artery contours at an accuracy close to that achieved by manual extraction.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2013EDP7461/_p
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@ARTICLE{e97-d_9_2493,
author={Bunpei TOJI, Jun OHMIYA, Satoshi KONDO, Kiyoko ISHIKAWA, Masahiro YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Fully Automatic Extraction of Carotid Artery Contours from Ultrasound Images},
year={2014},
volume={E97-D},
number={9},
pages={2493-2500},
abstract={In this paper, we propose a fully automatic method for extracting carotid artery contours from ultrasound images based on an active contour approach. Several contour extraction techniques have been proposed to measure carotid artery walls for early detection of atherosclerotic disease. However, the majority of these techniques require a certain degree of user interaction that demands time and effort. Our proposal automatically detects the position of the carotid artery by identifying blood flow information related to the carotid artery, and an active contour model is employed that uses initial contours placed in the detected position. Our method also applies a global energy minimization scheme to the active contour model. Experiments on clinical cases show that the proposed method automatically extracts the carotid artery contours at an accuracy close to that achieved by manual extraction.},
keywords={},
doi={10.1587/transinf.2013EDP7461},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Fully Automatic Extraction of Carotid Artery Contours from Ultrasound Images
T2 - IEICE TRANSACTIONS on Information
SP - 2493
EP - 2500
AU - Bunpei TOJI
AU - Jun OHMIYA
AU - Satoshi KONDO
AU - Kiyoko ISHIKAWA
AU - Masahiro YAMAMOTO
PY - 2014
DO - 10.1587/transinf.2013EDP7461
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2014
AB - In this paper, we propose a fully automatic method for extracting carotid artery contours from ultrasound images based on an active contour approach. Several contour extraction techniques have been proposed to measure carotid artery walls for early detection of atherosclerotic disease. However, the majority of these techniques require a certain degree of user interaction that demands time and effort. Our proposal automatically detects the position of the carotid artery by identifying blood flow information related to the carotid artery, and an active contour model is employed that uses initial contours placed in the detected position. Our method also applies a global energy minimization scheme to the active contour model. Experiments on clinical cases show that the proposed method automatically extracts the carotid artery contours at an accuracy close to that achieved by manual extraction.
ER -