机器人学
人工智能
计算机科学
计算机视觉
机器人
作者
Song Jing-wei,Ke‐Ke Yang,Chen Han,Jiayi Liu,Gu Yinan,Hui Qianxin,Yanqi Huang,Meng Li,Xinyuan Zhang,Cao Tuoyu,Ghaffari Maani
出处
期刊:Cornell University - arXiv
日期:2024-05-15
标识
DOI:10.48550/arxiv.2405.09375
摘要
This research reports VascularPilot3D, the first 3D fully autonomous endovascular robot navigation system. As an exploration toward autonomous guidewire navigation, VascularPilot3D is developed as a complete navigation system based on intra-operative imaging systems (fluoroscopic X-ray in this study) and typical endovascular robots. VascularPilot3D adopts previously researched fast 3D-2D vessel registration algorithms and guidewire segmentation methods as its perception modules. We additionally propose three modules: a topology-constrained 2D-3D instrument end-point lifting method, a tree-based fast path planning algorithm, and a prior-free endovascular navigation strategy. VascularPilot3D is compatible with most mainstream endovascular robots. Ex-vivo experiments validate that VascularPilot3D achieves 100% success rate among 25 trials. It reduces the human surgeon's overall control loops by 18.38%. VascularPilot3D is promising for general clinical autonomous endovascular navigations.
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