Knowledge Commons of Institute of Automation,CAS
Real-Time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair | |
Zhou, Yan-Jie1,3![]() ![]() ![]() ![]() ![]() ![]() | |
2019-12 | |
会议名称 | International Conference on Neural Information Processing (ICONIP) |
会议日期 | 2019.12.12-15 |
会议地点 | Sydney, Australia |
出版者 | Springer |
摘要 | Endovascular aneurysm repair (EVAR) is currently the treatment of choice for most patients with an abdominal aortic aneurysm (AAA). Real-time guidewire tracking in 2D X-ray fluoroscopy can greatly assist physicians in EVAR treatment. Nevertheless, this task is often accompanied by the challenges of the noisy background of X-ray fluoroscopy and the elongated deformable structure of the guidewire. In this work, a novel lightweight network architecture called Fast Attention Segmentation Network is proposed for real-time guidewire tracking. The novel network combines the advantages of the attention mechanism, the pre-trained lightweight components, and reinforced focal loss to effectively address the problem of extreme foreground-background class imbalance and misclassified examples. Experiment results on clinical 2D X-ray image sequences of 30 patients demonstrate that the proposed approach can achieve state-of-the-art performance. To the best of our knowledge, this is the first approach capable of real-time segmenting and tracking guidewire in EVAR treatment. |
关键词 | Guidewire Segmentation Tracking X-ray fluoroscopy |
收录类别 | EI |
资助项目 | National Natural Science Foundation of China[61533016] ; National Natural Science Foundation of China[61533016] |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48550 |
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.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.CAS Center for Excellence in Brain Science and Intelligence Technology 3.University of Chinese Academy of Sciences 4.Department of Vascular Surgery, Peking Union Medical College Hospita 5.Department of Cardiology, Huadong Hospital Affiliated to Fudan University |
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, Yan-Jie,Xie, Xiao-Liang,Bian, Gui-Bin,et al. Real-Time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair[C]:Springer,2019. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
9-Real-time guidewir(2198KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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