VascularPilot3D：血管内ロボティクスのための3D完全自律ナビゲーションに向けて
VascularPilot3D: Toward a 3D fully autonomous navigation for endovascular robotics
術中透視X線画像と血管内ロボットを用い、3D-2D血管位置合わせやガイドワイヤセグメンテーション、トポロジー制約付き端点推定、木構造ベースの経路計画を組み合わせた完全自律3Dナビゲーションシステムを開発し、体外実験25回で成功率100%を達成した。
著者: Jingwei Song, Keke Yang, Han Chen, Jiayi Liu, Yinan Gu, Qianxin Hui, Yanqi Huang, Meng Li, Zheng Zhang, Tuoyu Cao, Maani Ghaffari
分類: cs.RO
原文アブストラクト
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.
