b超图像中颈总动脉壁定位用于初始化动脉壁跟踪方法

Jan Dorazil, K. Říha, M. Dutta
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引用次数: 6

摘要

超声序列对颈总动脉(CCA)壁运动的分析可用于许多心血管疾病的诊断。在本文中,我们介绍了一种定位超声图像内CCA管壁轮廓(用圆近似)的方法,该方法可用于初始化动脉管壁跟踪方法的实时应用。首先,我们使用最近提出的基于Viola-Jones检测器的方法检测感兴趣的矩形区域(ROI)。接下来,我们对ROI内所有可能的圆执行穷举搜索。使特定标准最大化的圆表示最终估计。145张超声图像数据集的实验结果表明,该方法在精度和误检率方面都优于基于霍夫变换的参考方法。
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Common Carotid Artery Wall Localization in B-mode Ultrasound Images for Initialization of Artery Wall Tracking Methods
Analysis of the movement of the common carotid artery (CCA) wall in ultrasound sequences can be used for diagnosis of many cardiovascular diseases. In this paper we introduce a method for localization of the CCA wall contour (approximated by a circle) inside an ultrasound image, which can be used in real-time applications for initialization of an artery wall tracking method. First we detect a rectangular region of interest (ROI) using a recently proposed method based on the Viola-Jones detector. Next we perform an exhaustive search over all possible circles inside the ROI. Circle which maximizes a particular criterion represents the final estimate. Experimental results on a dataset of 145 ultrasound images show that the method outperforms a reference method based on the Hough transform in terms of precision and misdetection rates.
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