Mixed reality for surgeons training in neurosurgical procedures

Neurosurgery demands high precision and advanced training techniques to ensure optimal patient outcomes. This thesis presents NeuroMix, an innovative mixed reality platform designed to enhance neurosurgical training through immersive, risk-free simulations. NeuroMix leverages the Meta Quest 3 headset to provide a highly interactive training environment, which combines realistic 3D anatomical modeling with tools for accurate spatial measurement and transparency adjustments. The platform specifically addresses the need for improved training in intraventricular catheter placement, a procedure critical for managing elevated intracranial pressure, where inaccuracies can lead to severe complications. This pilot study explores the current landscape of MR technologies in surgical training. Through assessments conducted with neurosurgery residents, NeuroMix has shown high usability and acceptance, as evaluated using standardized metrics like the System Usability Scale, NASA Task Load Index, and the Technology Acceptance Model. Results indicate that NeuroMix not only enhances skill acquisition but also reduces reliance on traditional cadaver-based training, promoting more accessible surgical education. The thesis concludes by proposing future enhancements to NeuroMix, including automated 3D alignment and haptic feedback capabilities, underscoring its potential to set new standards in neurosurgical training and to foster the development of highly skilled surgeons.