Shutian Li
Papers
1
Total Citations
10
H-Index
1
About
Shutian Li has made foundational contributions to the field of medical robotics, specifically in enhancing the precision of real-time motion compensation during robotic radiosurgery. His key research areas include fuzzy logic control, hybrid prediction algorithms, and adaptive signal processing for image-guided radiation therapy. Li’s most notable work, "Fuzzy and hybrid prediction of position signal in synchrony® respiratory tracking system" (2007, 10 citations), addresses a critical challenge in the CyberKnife® Robotic Radiosurgery System: the inherent delay between target motion detection and beam delivery. By developing a fuzzy-hybrid predictor that compensates for respiratory-induced tumor movement, Li significantly improved the accuracy of the Synchrony® Respiratory Tracking System, enabling safer, more effective treatment of moving tumors. This work has been cited by researchers advancing real-time adaptive radiotherapy and robotic control systems. Li’s contributions exemplify how intelligent control algorithms can bridge the gap between sensor feedback and mechanical response, directly impacting patient outcomes in stereotactic radiosurgery. His research remains a reference point for engineers and clinicians seeking to minimize latency in motion-compensated medical devices.
Research Focus
Key Achievements
Top Papers
- 1