About

Reza Seifabadi is a pioneering biomedical engineer and roboticist whose research sits at the intersection of medical robotics, MRI-guided interventions, and prostate cancer treatment. His work has fundamentally advanced the design and clinical translation of MRI-compatible robotic systems for minimally invasive procedures, particularly targeting prostate cancer diagnosis and therapy. Seifabadi's most significant contributions center on pneumatically actuated, MRI-conditional robots capable of precise needle placement during prostate biopsy, brachytherapy, and focal laser ablation — procedures that demand sub-millimeter accuracy in magnetically challenging environments. His early feasibility studies on teleoperated needle insertion, each garnering nearly 60 citations, established critical groundwork for the field, while subsequent preclinical and cadaveric studies validated these platforms for real-world surgical workflows. His investigations into needle tracking using Fiber Bragg Grating sensors and teleoperated needle steering further demonstrated his commitment to solving the complex sensing challenges inherent to MRI environments. Beyond the prostate, Seifabadi extended his robotics expertise to shoulder arthrography and micro-positioning systems with haptic feedback, reflecting a broader vision for image-guided robotic surgery. With over 380 cumulative citations across his most recognized works, his contributions have meaningfully shaped how clinicians and engineers approach precision oncology and interventional robotics.

Research Focus

Key Achievements

11
H-Index
18
Papers
438
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robotic system for MRI-guided prostate biopsy: feasibility of teleoperated needle insertion and ex vivo phantom study
58 citations · 2011
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Queen's University, National Institutes of Health, National Institutes of Health Clinical Center, Children's National, Johns Hopkins University, Amirkabir University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago