Dezhi Sun

University of Twente

Papers

2

Total Citations

16

H-Index

1

About

Dezhi Sun is a pioneering researcher at the intersection of robotics and medical imaging, with key contributions in autonomous ultrasound systems and fluoroscopic-guided interventions. His most impactful work introduces the Automated Robotic Ultrasound Scanning (ARUS) system, a comprehensive framework that overcomes longstanding challenges in musculoskeletal imaging—namely operator dependency, limited spatial flexibility, and high personnel costs. By integrating advanced robotic control with real-time imaging, Sun’s ARUS system enables consistent, high-quality 3D musculoskeletal reconstruction, a breakthrough that has already garnered 15 citations since its 2025 publication. In parallel, Sun has advanced interventional radiology through his work on an autonomous fluoroscopic imaging system for catheter insertions. His bilateral control architecture synchronizes fluoroscopic feedback with a tendon-driven robotic catheter and motorized C-arm, preserving optimal imaging geometry during autonomous procedures. Though a numerical simulation study, this work lays critical groundwork for reducing radiation exposure and improving precision in catheter-based interventions. With a growing citation footprint and a focus on translating robotics into clinical practice, Sun is establishing himself as a rising leader in surgical automation and image-guided therapy.

Research Focus

Key Achievements

1
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Robotic Ultrasound for 3D Musculoskeletal Reconstruction: A Comprehensive Framework
15 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Twente

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago