A 2D Image Feedback-Based Autonomous Endovascular Navigation Method: A Perception and Control Framework
The method creates a system for autonomous navigation during endovascular procedures using 2D images from DSA and fluoroscopy. It converts vessel masks into a labeled graph to calculate progress, deviation, and direction of the device tip. A rule-based controller uses these metrics to guide actions like delivery, branch selection, and recovery in real-time.