Leonidas Georgiou

About

Leonidas Georgiou is a pioneering researcher in the field of magnetic resonance-guided focused ultrasound (MRgFUS) robotics, with a specialized focus on system accuracy, MR compatibility, and clinical translation. His work addresses critical challenges in ensuring that MRgFUS robotic systems meet the stringent precision requirements for safe clinical application. Georgiou’s most-cited paper, “Simple methods to test the accuracy of MRgFUS robotic systems” (2021, 15 citations), introduces accessible validation techniques for robotic motion, while his subsequent studies on MR compatibility (2022, 14 citations) and the effect of MRI on motion accuracy (2024, 4 citations) provide essential insights into operating these systems within high-field scanners. His 2025 study on focused ultrasound sonications in head phantoms, which evaluates skull obstruction’s impact on focal heating, demonstrates his commitment to addressing real-world anatomical challenges. With a growing citation record and a focus on preclinical validation, Georgiou’s contributions are foundational for advancing non-invasive MRgFUS therapies, making him a key figure in the intersection of robotics, imaging, and therapeutic ultrasound.

Research Focus

Key Achievements

Top Papers

1. 1
   Simple methods to test the accuracy of MRgFUS robotic systems

   15 citations · 2021
2. 2
   Challenges regarding MR compatibility of an MRgFUS robotic system

   14 citations · 2022
3. 3
   Effect of Magnetic Resonance Imaging on the Motion Accuracy of Magnetic Resonance Imaging-compatible Focused Ultrasound Robotic System

   4 citations · 2024
4. 4
   Focused Ultrasound Sonications of Tumor Model in Head Phantom under MRI Monitoring: Effect of Skull Obstruction on Focal Heating

   3 citations · 2025
5. 5
   Magnetic Resonance Thermometry of Focused Ultrasound Using a Preclinical Focused Ultrasound Robotic System at 3T

   2 citations · 2024

Key Collaborators

Contact & Links