Guanyun Liu

University of Florida, Johns Hopkins University

Papers

2

Total Citations

17

H-Index

2

About

Guanyun Liu is a leading researcher in the field of medical robotics, with a core focus on MRI-guided interventions and needle-based surgical systems. His work addresses critical challenges in percutaneous procedures, particularly for spinal injections, where precision is paramount. Liu’s major contributions include the development of an MR-conditional needle driver for robot-assisted spinal injections, a system designed to operate safely within the high magnetic field of an MRI scanner. His 2022 paper on this topic (5 citations) details crucial design modifications for improved sterilization and sterility, moving the technology closer to clinical regulatory approval. Complementing this hardware work, Liu’s 2024 study on bevel-tip needle deflection (12 citations) provides a sophisticated model for predicting needle behavior in multi-layer tissues, a fundamental challenge for accurate placement. By combining novel robotic hardware with advanced biomechanical modeling, Liu is directly tackling the translational hurdles that prevent robotic systems from improving outcomes in minimally invasive spine care, making his work highly relevant for researchers in surgical robotics and interventional radiology.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Bevel-Tip Needle Deflection Modeling, Simulation, and Validation in Multi-Layer Tissues
12 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Florida, Johns Hopkins University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago