Article

MCP-Net: A Real-Time Coronary Perception Network and Topological Analysis for Robotic Guidewire Navigation

The authors propose a simulation-driven framework centered on a multi-task coronary perception network, MCP-Net, for robotic guidewire navigation, integrating coronary vessel segmentation, vascular topology extraction, and roadmap generation. The method generates simulated fluoroscopy images and simulation-derived ground truth from three-dimensional coronary CT angiography, including simulated guidewires, stenotic lesions of varying severity, and diverse vascular geometries. MCP-Net jointly performs vessel segmentation, guidewire-tip localization, and stenosis localization from a single fluoroscopic frame.

Part of the event: MCP-Net: A Simulation-Driven Coronary Artery Perception Framework

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