A novel method of vessel segmentation for X-Ray coronary angiography images
文献类型：会议论文
| 作者 | Yanli Li; Shoujun Zhou; Jianhuang Wu; Xin Ma; Kewen Peng |
| 出版日期 | 2012 |
| 会议名称 | 4th International Conference on Computational and Information Sciences, ICCIS 2012 |
| 会议地点 | Chongqing, China |
| 英文摘要 | This paper presents a new automatic region-growing method for vessel segmentation in two-dimensional X-ray coronary angiography images. The method consists of two parts: the feature map extraction based on a novel vesselness function; and the segmentation process which includes automatic seed-point selection, main branch segmentation and vessel detail repair. Both the greyscale and spatial information are extracted for segmentation based on region growing algorithm. The presented method is validated on several clinical X-ray coronary angiography images, and the experimental results show that the method can not only segment large vessels but also small vessels. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4123]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Yanli Li,Shoujun Zhou,Jianhuang Wu,et al. A novel method of vessel segmentation for X-Ray coronary angiography images[C]. 见:4th International Conference on Computational and Information Sciences, ICCIS 2012. Chongqing, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。