Knowledge Commons of Institute of Automation,CAS
A Unified Framework for Multi-Guidewire Endpoint Localization in Fluoroscopy Images | |
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-Guang1,3,4 | |
发表期刊 | IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING |
ISSN | 0018-9294 |
2022-04-01 | |
卷号 | 69期号:4页码:1406-1416 |
通讯作者 | Zhou, Xiao-Hu(zhouxiaohu2014@ia.ac.cn) ; Hou, Zeng-Guang(zengguang.hou@ia.ac.cn) |
摘要 | Objective: In this paper, Keypoint Localization Region-based CNN (KL R-CNN) is proposed, which can simultaneously accomplish the guidewire detection and endpoint localization in a unified model. Methods: KL R-CNN modifies Mask R-CNN by replacing the mask branch with a novel keypoint localization branch. Besides, some settings of Mask R-CNN are also modified to generate the keypoint localization results at a higher detail level. At the same time, based on the existing metrics of Average Precision (AP) and Percentage of Correct Keypoints (PCK), a new metric named AP(PCK) is proposed to evaluate the overall performance on the multi-guidewire endpoint localization task. Compared with existing metrics, AP(PCK) is easy to use and its results are more intuitive. Results: Compared with existing methods, KL R-CNN has better performance when the threshold is loose, reaching a mean AP(PCK) of 90.65% when the threshold is 9 pixels. Conclusion: KL R-CNN achieves the state-of-the-art performance on the multi-guidewire endpoint localization task and has application potentials. Significance: KL R-CNN can achieve the localization of guidewire endpoints in fluoroscopy images, which is a prerequisite for computer-assisted percutaneous coronary intervention. KL R-CNN can also be extended to other multi-instrument localization tasks. |
关键词 | Location awareness Surgery Instruments Feature extraction Task analysis Proposals Measurement Guidewire endpoint keypoint localization surgical instrument |
DOI | 10.1109/TBME.2021.3118001 |
收录类别 | SCI |
语种 | 英语 |
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] |
项目资助者 | 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 |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Biomedical |
WOS记录号 | WOS:000792917400018 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/49393 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Zhou, Xiao-Hu; 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 |
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 | Li, Rui-Qi,Xie, Xiao-Liang,Zhou, Xiao-Hu,et al. A Unified Framework for Multi-Guidewire Endpoint Localization in Fluoroscopy Images[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2022,69(4):1406-1416. |
APA | Li, Rui-Qi.,Xie, Xiao-Liang.,Zhou, Xiao-Hu.,Liu, Shi-Qi.,Ni, Zhen-Liang.,...&Hou, Zeng-Guang.(2022).A Unified Framework for Multi-Guidewire Endpoint Localization in Fluoroscopy Images.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,69(4),1406-1416. |
MLA | Li, Rui-Qi,et al."A Unified Framework for Multi-Guidewire Endpoint Localization in Fluoroscopy Images".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 69.4(2022):1406-1416. |
条目包含的文件 | 条目无相关文件。 |
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