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	Vascular Centerline Extraction of CTA Images Based on Minimal Path and Bayesian Tracking
	Fan Zhang; Pei Lu; Shoujun Zhou; Xiaoyun Liu
	2017
会议日期	2017
会议地点	上海
英文摘要	Vascular centerline and centerline branch information are especially important for the analysis of vascular disease and vascular intervention surgery. Minimal path propagation with backtracking algorithm (MPP-BT) has a good performance of vascular centerline extraction, and solves endpoint problem, shortcut problem and accumulation problem of traditional minimum path algorithm. Given a path through two endpoints, the MPP-BT is used in this paper to extract vascular centerline by manually setting a starting point; however, the resultant centerline lacks branch information. To obtain centerline branch information, a new method is proposed, which is based on minimum path and Bayesian tracking. The process includes three steps: Firstly, a new multiscale filtering algorithm is used to enhance vascular structure; secondly, vascular centerlines are extracted using minimum path; finally, quantized information of centerline and branch structure is obtained by Bayesian tracking. Experimental results show that the proposed method can effectively extract vascular centerline with the corresponding branch information.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12206]
专题	深圳先进技术研究院_医工所
作者单位	2017
推荐引用方式 GB/T 7714	Fan Zhang,Pei Lu,Shoujun Zhou,et al. Vascular Centerline Extraction of CTA Images Based on Minimal Path and Bayesian Tracking[C]. 见:. 上海. 2017.

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