Khang Tran

University of Houston

Papers

1

Total Citations

3

H-Index

1

About

Khang Tran is a researcher at the forefront of interventional MRI, pioneering tetherless therapeutic delivery systems. His work centers on harnessing the magnetic field gradients of MRI scanners to wirelessly actuate and guide ferromagnetic agents for targeted interventions. In his highly cited 2022 study, "Simulations of MRI Guided and Powered Ferric Applicators for Tetherless Delivery of Therapeutic Interventions," Tran demonstrated a novel framework for using MRI not just as an imaging tool, but as a propulsion and steering mechanism for untethered devices. This breakthrough addresses a critical challenge in minimally invasive medicine: enabling precise navigation of therapeutic payloads deep within the body without physical tethers. By simulating the controlled movement of ferric applicators under real-time MRI guidance, his research lays the groundwork for a new class of robot-assisted, image-guided procedures. Though early in his career, Tran’s work has already garnered attention for its potential to transform intravascular interventions, offering a safer, more precise alternative to conventional catheter-based approaches.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Simulations of MRI Guided and Powered Ferric Applicators for Tetherless Delivery of Therapeutic Interventions
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Houston

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago