Automating Catheterization Labs with Real-Time Perception

• URL: http://arxiv.org/abs/2403.05758v1
• Date: Sat, 9 Mar 2024 02:05:23 GMT
• Title: Automating Catheterization Labs with Real-Time Perception
• Authors: Fan Yang, Benjamin Planche, Meng Zheng, Cheng Chen, Terrence Chen, Ziyan Wu
• Abstract summary: AutoCBCT is a visual perception system seamlessly integrated with an angiography suite. It enables a novel workflow with automated positioning, navigation and simulated test-runs, eliminating the need for manual operations and interactions. The proposed system has been successfully deployed and studied in both lab and clinical settings, demonstrating significantly improved workflow efficiency.
• Score: 31.65246126754449
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: For decades, three-dimensional C-arm Cone-Beam Computed Tomography (CBCT) imaging system has been a critical component for complex vascular and nonvascular interventional procedures. While it can significantly improve multiplanar soft tissue imaging and provide pre-treatment target lesion roadmapping and guidance, the traditional workflow can be cumbersome and time-consuming, especially for less experienced users. To streamline this process and enhance procedural efficiency overall, we proposed a visual perception system, namely AutoCBCT, seamlessly integrated with an angiography suite. This system dynamically models both the patient's body and the surgical environment in real-time. AutoCBCT enables a novel workflow with automated positioning, navigation and simulated test-runs, eliminating the need for manual operations and interactions. The proposed system has been successfully deployed and studied in both lab and clinical settings, demonstrating significantly improved workflow efficiency.

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