Image-guided robotic systems are essential in modern surgeries, but existing software that combines platforms like ROS and 3D Slicer is often too complex and slow for real-time use, particularly in environments with multiple sensors. This thesis introduces a new, lightweight software platform designed for image visualization in robotic settings. It offers fast and accurate image processing with a user-friendly interface for data visualization and real-time handling. The platform is modular and scalable, making it adaptable for future needs, such as students integrating their own algorithms.
The presentation will cover the platform's benefits, current limitations, and potential future advancements.