Automating Catheterization Labs with Real-Time Perception
<|reference_start|>Automating Catheterization Labs with Real-Time Perception: 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.<|reference_end|>
@article{yang2024automating,
    title={Automating Catheterization Labs with Real-Time Perception},
    author={Fan Yang, Benjamin Planche, Meng Zheng, Cheng Chen, Terrence Chen,
  Ziyan Wu},
    journal={arXiv preprint arXiv:2403.05758},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.05758},
    primaryClass={cs.CV}
}