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About

Andreas Georgiou is a biomedical engineer specializing in the intersection of robotics, magnetic resonance imaging (MRI), and focused ultrasound (FUS) therapy. His research centers on developing advanced software and robotic systems to enhance the precision, safety, and efficacy of minimally invasive interventions, particularly MRI-guided focused ultrasound (MRgFUS) therapy and MRI-guided needle biopsy. Georgiou’s major contributions include creating a full coverage path planning algorithm for MRgFUS treatment planning, which optimizes sonication trajectories from preoperative MR images to ensure complete and efficient tissue ablation. He has also developed robust phantom-based methods for assessing the motion and needle targeting accuracy of robotic biopsy devices, providing essential tools for preclinical validation. His work on magnetic resonance thermometry for FUS robotic systems at 3T further advances real-time temperature monitoring during therapy. With over 20 citations across his most-cited papers, including his 2023 work on MRgFUS software, Georgiou’s research is foundational for translating robotic MRI-guided therapies into clinical practice, improving outcomes for patients requiring precise thermal ablation or diagnostic biopsy.