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基于 Hough 变换和双蛇模型的超声内膜-中层分割。

Ultrasound intima-media segmentation using Hough transform and dual snake model.

机构信息

School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, PR China.

出版信息

Comput Med Imaging Graph. 2012 Apr;36(3):248-58. doi: 10.1016/j.compmedimag.2011.06.007. Epub 2011 Jul 7.

Abstract

Common carotid artery intima-media thickness (IMT), which is usually measured upon ultrasound images, is an important indicator to cardiovascular diseases. This paper proposes a snake model based segmentation method to automatically detect the boundary of intima-media for IMT measurement. In the proposed method, two contours are initialized from line segments generated by Hough transform and then evolved simultaneously by dual snake model for boundary detection. Experimental results show that the proposed method has strong robustness against ultrasound artifacts, gives better results than traditional snake model and dynamic programming based methods, and achieves similar clinical parameters to ground truth data.

摘要

颈总动脉内中膜厚度(IMT)通常通过超声图像进行测量,是心血管疾病的一个重要指标。本文提出了一种基于蛇模型的分割方法,用于自动检测 IMT 测量的内中膜边界。在提出的方法中,两个轮廓从霍夫变换生成的线段初始化,然后通过双蛇模型同时演化进行边界检测。实验结果表明,该方法对超声伪影具有很强的鲁棒性,比传统的蛇模型和基于动态规划的方法取得了更好的结果,并与真实数据达到了相似的临床参数。

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