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About

Golnoosh Samei is a biomedical engineer and researcher specializing in image-guided surgical systems, medical image registration, and augmented reality applications in minimally invasive urology. Her work sits at the intersection of robotics, medical imaging, and computational methods, with a particular focus on improving the precision of robot-assisted radical prostatectomy (RALRP) — a technically demanding procedure for prostate cancer treatment. Samei's most impactful contribution, garnering 44 citations, introduced a partial augmented reality system that fuses live ultrasound with preoperative MRI data to provide surgeons with real-time anatomical guidance during robotic prostatectomy. Complementing this, her development of a real-time finite element model (FEM)-based registration technique — cited 26 times — addressed the challenging problem of accurately aligning 3D and 2.5D transrectal ultrasound images intraoperatively, accounting for tissue deformation that makes registration notoriously difficult. Additional work explored transperineal ultrasound guidance and fused MRI-ultrasound augmented reality platforms, collectively pushing the boundaries of what intraoperative imaging can offer surgeons. Through these contributions, Samei has meaningfully advanced the field of image-guided intervention, offering clinically translatable tools that could improve surgical accuracy and ultimately patient outcomes in prostate cancer care.