Knowledge Commons of Institute of Automation,CAS
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention | |
Prasong Pusit; Xiaoliang,Xie; Zeng-Guang Hou | |
发表期刊 | IET Image Processing |
2019 | |
卷号 | 13期号:13页码:2579-2586 |
摘要 | Intervention surgery strongly requires information on the guide-wire position under the monitoring of X-ray video. Hence, the related researches that can locate the guide-wire position such as guide-wire detecting or tracking have become popular. However, most of the existing methods require a lot of resources for computing or large data for training since in the Xray videos there are internal physicals such as anatomical skeleton contours and organs that are quite similar to a guide-wire. This work presents a practical method that only requires the moderate number of training data for detecting a guide-wire tip in an X-ray video sequence during the percutaneous coronary intervention surgery. The method applies maximally stable extremal regions (MSERs) combined with modified multi-filters (region area range filter and stroke width variation filter) for region detection and local binary patterns (LBPs) for guide-wire recognition. The motivation for applying MSER and LBP are the robust ability and the low requirement of resources. The approach evaluated on 20 different sequences of X-ray videos, total 1295 frames. Fifty selected frames were used as training templates and others to experiment. The method was successfully performed to the detecting guide-wires with p-value < 0.01 compared with conventional MSER methods, 93.7% average detection accuracy, and 21 fps average speed. |
关键词 | image sequences blood vessels video signal processing object detection |
七大方向——子方向分类 | 图像视频处理与分析 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41474 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
作者单位 | 1.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, CAS, Beijing 100190, People's Republic of China 2.University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China 3.CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing 100190, People's Republic of China |
推荐引用方式 GB/T 7714 | Prasong Pusit,Xiaoliang,Xie,Zeng-Guang Hou. Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention[J]. IET Image Processing,2019,13(13):2579-2586. |
APA | Prasong Pusit,Xiaoliang,Xie,&Zeng-Guang Hou.(2019).Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention.IET Image Processing,13(13),2579-2586. |
MLA | Prasong Pusit,et al."Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention".IET Image Processing 13.13(2019):2579-2586. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Applying maximally s(2646KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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。
修改评论