Vascular Centerline Extraction of CTA Images Based on Minimal Path and Bayesian Tracking
文献类型：会议论文
| 作者 | Fan Zhang; Pei Lu; Shoujun Zhou; Xiaoyun Liu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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