A Dual-Stream Architecture for Real-Time Morphological Analysis of Aneurysm in Robot-Assisted Minimally Invasive Surgery
文献类型:会议论文
作者 | Zhou, Yan-Jie1,4; Liu, Shi-Qi1; Xie, Xiao-Liang1,4; Zhou, Xiao-Hu1; Hou, Zeng-Guang1,2,3,4; Li, Rui-Qi1,4; Ni, Zhen-Liang1,4; Fan, Chen-Chen1,4 |
出版日期 | 2022-05 |
会议日期 | 2022.05.23-27 |
会议地点 | Philadelphia, PA, USA |
英文摘要 | Real-time and precise morphological analysis of intraoperative AAA is a significant pre-imperative for robot-assisted minimally invasive surgery (RMIS). However, this task is frequently accompanied by the difficulties of ambiguous boundaries and obscured surfaces of aneurysms. To remedy these problems, we propose a Light-Weight Dual-Stream Boundary-Aware Network (DSB-Net) and a novel diagnosis algorithm for real-time morphological analysis of AAA. In the network, the features at the boundaries are preserved by incorporating a boundary localization stream, while the interior segmentation accuracy is guaranteed with a mask prediction stream. Moreover, the diagnosis algorithm is developed to measure the exact size of AAA. Quantitative and qualitative assessments of two different types of datasets illustrate that (1) The presented DSB-Net remarkably outperforms the other previously proposed medical networks with the inference rate of 10.8 FPS, which meets the real-time clinical necessities. (2) The developed algorithm provides accurate size measurements for AAA, which indicates the proposed approach can be integrated into the robotic navigation framework for RMIS. |
会议录出版者 | IEEE |
资助项目 | Strategic Priority Research Program of Chinese Academy of Science[XDB32040000] |
源URL | [http://ir.ia.ac.cn/handle/173211/48545] |
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.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.Joint Laboratory of Intelligence Science and Technology, Institute of Systems Engineering, Macau University of Science and Technology 3.CAS Center for Excellence in Brain Science and Intelligence Technology 4.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Zhou, Yan-Jie,Liu, Shi-Qi,Xie, Xiao-Liang,et al. A Dual-Stream Architecture for Real-Time Morphological Analysis of Aneurysm in Robot-Assisted Minimally Invasive Surgery[C]. 见:. Philadelphia, PA, USA. 2022.05.23-27. |
入库方式: OAI收割
来源:自动化研究所
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