Imaging, analysis and workflow assistance for angioplasty
By analyzing VasoCT volumetric images using neural networks, the system automatically identifies the adhesion between the stent and the vessel wall, generating the optimal observation angle. This solves the problem of difficult detection of poor stent adhesion in existing technologies, and improves the efficiency and safety of intravascular procedures.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- KONINKLIJKE PHILIPS NV
- Filing Date
- 2024-10-30
- Publication Date
- 2026-06-02
AI Technical Summary
Existing technologies struggle to efficiently and accurately detect and correct stent misalignment during intravascular procedures, leading to potential health complications such as thrombosis. Furthermore, current methods are time-consuming, rely on manual analysis, and are prone to errors.
The VasoCT volumetric image is analyzed using a neural network to automatically identify the fit between the stent and the vessel wall, and generate a 3D distance map and the best viewing angle to help interventional physicians quickly correct poor fit.
It enables early detection and correction of stent misfit, reduces the time and resource consumption of manual analysis, improves the accuracy and safety of the process, and reduces health risks.
Smart Images

Figure CN122138798A_ABST