Automating Catheterization Labs with Real-Time Perception
Fan Yang Benjamin Planche Meng Zheng Cheng Chen Terrence Chen Ziyan Wu
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.