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Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images

文献类型：期刊论文

作者Li, Rui-Qi1,2; Xie, Xiao-Liang1,2; Zhou, Xiao-Hu1,2; Liu, Shi-Qi1,2; Ni, Zhen-Liang1,2; Zhou, Yan-Jie1,2; Bian, Gui-Bin1,2; Hou, Zeng-Guang1,2,3,4
刊名IEEE TRANSACTIONS ON MEDICAL IMAGING
出版日期2021-08-01
卷号40期号:8页码:2002-2014
关键词Location awareness Surgery Instruments Task analysis Detectors Real-time systems Retina Guidewire endpoint keypoint localization surgical instrument
ISSN号0278-0062
DOI10.1109/TMI.2021.3069998
通讯作者Hou, Zeng-Guang(zengguang.hou@ia.ac.cn)
英文摘要The real-time localization of the guidewire endpoints is a stepping stone to computer-assisted percutaneous coronary intervention (PCI). However, methods for multi-guidewire endpoint localization in fluoroscopy images are still scarce. In this paper, we introduce a framework for real-time multi-guidewire endpoint localization in fluoroscopy images. The framework consists of two stages, first detecting all guidewire instances in the fluoroscopy image, and then locating the endpoints of each single guidewire instance. In the first stage, a YOLOv3 detector is used for guidewire detection, and a post-processing algorithm is proposed to refine the guidewire detection results. In the second stage, a Segmentation Attention-hourglass (SA-hourglass) network is proposed to predict the endpoint locations of each single guidewire instance. The SA-hourglass network can be generalized to the keypoint localization of other surgical instruments. In our experiments, the SA-hourglass network is applied not only on a guidewire dataset but also on a retinal microsurgery dataset, reaching the mean pixel error (MPE) of 2.20 pixels on the guidewire dataset and the MPE of 5.30 pixels on the retinal microsurgery dataset, both achieving the state-of-the-art localization results. Besides, the inference rate of our framework is at least 20FPS, which meets the real-time requirement of fluoroscopy images (6-12FPS).
资助项目National Natural Science Foundation of China[62073325] ; National Natural Science Foundation of China[62003343] ; National Natural Science Foundation of China[U1913601] ; National Natural Science Foundation of China[U20A20224] ; National Key Research and Development Program of China[2019YFB1311700] ; Youth Innovation Promotion Association of CAS[2020140] ; Strategic Priority Research Program of CAS[XDB32040000]
WOS研究方向Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000679532100005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Youth Innovation Promotion Association of CAS ; Strategic Priority Research Program of CAS
源URL[http://ir.ia.ac.cn/handle/173211/45666]  
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
中国科学院自动化研究所
通讯作者Hou, Zeng-Guang
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.CAS Ctr Excellence Brain Sci & Technol, Beijing 100190, Peoples R China
4.Macau Univ Sci & Technol, Inst Syst Engn, CAS MUST Joint Lab Intelligence Sci & Technol, Macau 999078, Peoples R China
推荐引用方式
GB/T 7714		 Li, Rui-Qi,Xie, Xiao-Liang,Zhou, Xiao-Hu,et al. Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2021,40(8):2002-2014.
APA Li, Rui-Qi.,Xie, Xiao-Liang.,Zhou, Xiao-Hu.,Liu, Shi-Qi.,Ni, Zhen-Liang.,...&Hou, Zeng-Guang.(2021).Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images.IEEE TRANSACTIONS ON MEDICAL IMAGING,40(8),2002-2014.
MLA Li, Rui-Qi,et al."Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images".IEEE TRANSACTIONS ON MEDICAL IMAGING 40.8(2021):2002-2014.

入库方式： OAI收割

来源：自动化研究所

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