An Interventionalist-Behavior-Based Data Fusion Framework for Guidewire Tracking in Percutaneous Coronary Intervention

doi:10.1109/TSMC.2018.2876465

	An Interventionalist-Behavior-Based Data Fusion Framework for Guidewire Tracking in Percutaneous Coronary Intervention
	Zhou, Xiao-Hu1,2 ; Bian, Gui-Bin1 ; Xie, Xiao-Liang1 ; Hou, Zeng-Guang1,2,3
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2020-11-01
卷号	50 期号:11 页码:4836-4849
通讯作者	Hou, Zeng-Guang(zengguang.hou@ia.ac.cn)
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.
关键词	Tracking Sensors Tools Catheters Electromyography Data integration Frequency modulation Data fusion framework guidewire tracking interventionalist behavior percutaneous coronary intervention (PCI)
DOI	10.1109/TSMC.2018.2876465
关键词[WOS]	SURFACE ELECTROMYOGRAPHY ; ENDOVASCULAR SURGERY ; NAVIGATION ; CATHETERS ; DISPLAY ; SENSOR
收录类别	SCI
语种	英语
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]
项目资助者	National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Beijing Natural Science Foundation
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000578826300078
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	多模态智能
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42135
专题	复杂系统认知与决策实验室_先进机器人
通讯作者	Hou, Zeng-Guang
作者单位	1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.