VascularPilot3D: Toward a 3D Fully Autonomous Navigation for Endovascular Robotics
Jingwei Song, Keke Yang, Chen Han, Jiayi Liu, Yan Gu, Qianxin Hui, Meng Li, Zheng Zhang, Tuoyu Cao, Maani Ghaffari
- 发表年份
- 2025
- 引用次数
- 2
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 topologyconstrained 2D-3D instrument end-point lifting method, a treebased 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 navigation.
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