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VascularPilot3D: Toward a 3D fully autonomous navigation for endovascular robotics

Authors :
Jingwei, Song
Keke, Yang
Han, Chen
Jiayi, Liu
Yinan, Gu
Qianxin, Hui
Yanqi, Huang
Meng, Li
Zheng, Zhang
Tuoyu, Cao
Maani, Ghaffari
Publication Year :
2024

Abstract

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.<br />Comment: Submitted to MICCAI2024

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2405.09375
Document Type :
Working Paper