Solution overviewThe vascular interventional robotic navigation solution integrates surgical robotics with endovascular intervention techniques to enable image-guided, highly accurate access to target vessels through complex trajectories. The platform reduces radiation exposure and limits clinician-patient contact to lower cross-infection risk. It is applicable to coronary and cerebral endovascular procedures and supports precise lesion localization, augmented reality (AR) visualization and remote operation.
System modules- Imaging processing
- Fully automated vessel extraction
- Multi-modal image fusion
- XRA vessel 3D reconstruction
- Intraoperative navigation
- Real-time catheter and guidewire tracking
- 5G remote operation
- Augmented reality navigation
- Robotic arm control
- Force sensing and haptic feedback
- Force compensation and control
Technical advantages- CTA/XRA vessel segmentation: enhances vessel conspicuity and enables fully automated, complete vessel extraction
- XRA 3D reconstruction: overcomes the lack of spatial information in 2D XRA, significantly improving multi-view 3D reconstruction accuracy
- Precise lesion localization: accurately characterizes hemodynamic distribution and identifies vascular stenosis
- High‑immersion AR visualization: aligns intraoperative patient pose with preoperative images to display 3D subcutaneous structures
Related products- 瑞瞳®PRO — Multi-source vision scanning and localization system
- 瑞瞳®MAX-Vision — Integrated laser localization RGB stereoscopic vision camera
- 瑞瞳®SE — Short-range high-precision tracking camera
- 瑞瞳®MAX — High-precision mid-to-long-range stereoscopic vision camera
Features / Technical specifications- Supports fully automated vessel extraction and multi-modal image fusion
- Provides XRA vessel 3D reconstruction to improve spatial localization accuracy
- Intraoperative real-time catheter/guidewire tracking with 5G remote operation and AR navigation support
- Robotic arm with force sensing, force feedback and force compensation control
- AR visualization for intraoperative pose matching and 3D display of subcutaneous structures