Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention
文献类型：期刊论文
| 作者 | Pusit, Prasong2,3; Xie, Xiao-Liang3 ; Hou, Zeng-Guang1,2,3
|
| 刊名 | IET IMAGE PROCESSING
 |
| 出版日期 | 2019-11-14 |
| 卷号 | 13期号:13页码:2579-2586 |
| 关键词 | blood vessels medical image processing surgery image sequences video signal processing image filtering object detection X-ray imaging object tracking stroke width variation filter region detection local binary patterns guide-wire recognition conventional MSER methods maximally stable extremal regions guide-wire position anatomical skeleton contours training data X-ray video sequence percutaneous coronary intervention surgery region area range filter X-ray video monitoring guide-wire tip detection modified multifilters training templates |
| ISSN号 | 1751-9659 |
| DOI | 10.1049/iet-ipr.2018.6652 |
| 通讯作者 | Hou, Zeng-Guang(zengguang.hou@ia.ac.cn) |
| 英文摘要 | Intervention surgery strongly requires information on the guide-wire position under the monitoring of X-ray video. Hence, the related researches such as guide-wire detecting or tracking have become widespread. However, most of the existing methods require a lot of resources for computing or large data for training since the X-ray videos have 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 a 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 (MSER) combine with modified multi-filters (region area range filter and stroke width variation filter) for region detection and local binary patterns (LBP) for guide-wire recognition. The motivation for applying MSER and LBP are the robust efficacy and the low requirement of resources. The approach evaluated 20 different sequences of X-ray videos, a total of 1295 frames. 50 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. |
| WOS关键词 | REGISTRATION |
| 资助项目 | National Natural Science Foundation of China[61533016] ; National Natural Science Foundation of China[U1613210] ; European Commission Marie Skodowska-Curie SMOOTH project (H2020-MSCA-RISE-2016)[734875] ; Royal Thai Government |
| WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000498813000023 |
| 出版者 | INST ENGINEERING TECHNOLOGY-IET |
| 资助机构 | National Natural Science Foundation of China ; European Commission Marie Skodowska-Curie SMOOTH project (H2020-MSCA-RISE-2016) ; Royal Thai Government |
| 源URL | [http://ir.ia.ac.cn/handle/173211/29395]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Hou, Zeng-Guang |
| 作者单位 | 1.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pusit, Prasong,Xie, Xiao-Liang,Hou, Zeng-Guang. 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 | Pusit, Prasong,Xie, Xiao-Liang,&Hou, Zeng-Guang.(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 | Pusit, Prasong,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. |
入库方式： OAI收割
来源：自动化研究所
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