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	Ultrasound contrast image segmentation using a modified level set method
	Qian Ming; Niu Lili; Xiao Yang; Wang Congzhi; Qiu Weibao; Zheng Hairong
	2013
会议名称	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
会议地点	Osaka, Japan
英文摘要	Manual segmentation of ultrasound contrast images is time-consuming and inevitable to variability, and computer-based segmentation algorithms often require user interaction. This paper proposes a novel level set model for fully automated segmentation of vascular ultrasound contrast images. The initial contour of arterial boundaries is acquired based on an automatic procedure. The level set model moves the initial contour towards the boundaries of arterial inner wall based on minimization of the energy function. The traditional energy function is improved by introducing an edge detector based on image gradient and the standard difference image. Both spatial and temporal information of the image are considered, and the robustness and accuracy of the level set model is enhanced. Ultrasonic contrast images of living mouse are acquitted with high frequency ultrasound system. Images of carotid arteries are processed with our method. The segmentation results using the proposed method are evaluated against two observers' hand-outlined boundaries, showing that computer-generated boundaries agree well with the observers' hand-outlined boundaries as much as the different observers agree with each other.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4941]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Qian Ming,Niu Lili,Xiao Yang,et al. Ultrasound contrast image segmentation using a modified level set method[C]. 见:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. Osaka, Japan.

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