An Interventionalist-Behavior-Based Data Fusion Framework for Guidewire Tracking in Percutaneous Coronary Intervention | |
Zhou, Xiao-Hu2,3; Bian, Gui-Bin2; Xie, Xiao-Liang2; Hou, Zeng-Guang1,2,3 | |
刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS |
2020-11-01 | |
卷号 | 50期号:11页码:4836-4849 |
关键词 | Tracking Sensors Tools Catheters Electromyography Data integration Frequency modulation Data fusion framework guidewire tracking interventionalist behavior percutaneous coronary intervention (PCI) |
ISSN号 | 2168-2216 |
DOI | 10.1109/TSMC.2018.2876465 |
通讯作者 | Hou, Zeng-Guang(zengguang.hou@ia.ac.cn) |
英文摘要 | Guidewire tracking is a clinical challenge in percutaneous coronary intervention (PCI). The current practice of image-based and sensor-based tracking techniques is still limited by radiation exposure, contrast injection, device sterilization, and procedure safety. In this paper, an interventionalist-behavior-based data fusion framework is developed to provide a novel strategy for tracking guidewire motions in PCI. Four types of natural behavior were acquired from ten interventionalists while performing guidewire translation and rotation based on a simulation platform. Different numbers of behaviors are fused by a hierarchical framework with six local tracking models and three ensemble algorithms. After Gaussian mixture regression-based ensemble fusion, a three-behavior scheme can achieve average tracking errors of 1.07 +/- 0.17 mm for guidewire translation, and 20.05 +/- 3.36 degrees for guidewire rotation. Relevant statistical analysis further reveals that this scheme outperforms the cases using fewer behaviors, and ensemble fusion brings significant error reduction compared with only local fusion. These meaningful results indicate the great potential of the proposed framework for promoting the improvement of guidewire tracking in PCI. |
资助项目 | National Natural Science Foundation of China[61533016] ; National Natural Science Foundation of China[61720106012] ; National Natural Science Foundation of China[61611130217] ; National Natural Science Foundation of China[61603386] ; National Natural Science Foundation of China[61421004] ; Strategic Priority Research Program of CAS[XDBS01040100] ; Beijing Natural Science Foundation[L172050] |
WOS关键词 | SURFACE ELECTROMYOGRAPHY ; ENDOVASCULAR SURGERY ; NAVIGATION ; CATHETERS ; DISPLAY ; SENSOR |
WOS研究方向 | Automation & Control Systems ; Computer Science |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000578826300078 |
资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Beijing Natural Science Foundation |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/42134] |
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.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Xiao-Hu,Bian, Gui-Bin,Xie, Xiao-Liang,et al. An Interventionalist-Behavior-Based Data Fusion Framework for Guidewire Tracking in Percutaneous Coronary Intervention[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2020,50(11):4836-4849. |
APA | Zhou, Xiao-Hu,Bian, Gui-Bin,Xie, Xiao-Liang,&Hou, Zeng-Guang.(2020).An Interventionalist-Behavior-Based Data Fusion Framework for Guidewire Tracking in Percutaneous Coronary Intervention.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,50(11),4836-4849. |
MLA | Zhou, Xiao-Hu,et al."An Interventionalist-Behavior-Based Data Fusion Framework for Guidewire Tracking in Percutaneous Coronary Intervention".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 50.11(2020):4836-4849. |
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