This research aims to develop a marker-free, AI learning-based neuronavigation system for external ventricular drain (EVD) placement. By leveraging real-time detection and tracking, precise image registration, and intuitive visualisation, the system seeks to enhance surgical accuracy, reduce complications, and address the limitations of traditional and existing image-guided techniques. To fulfil this aim, the following objectives will be pursued: 1) develop a real-time tracking system using stereo cameras and bespoke AI algorithms to capture and analyse the surgical scene, achieving high-precision tracking of the patient’s head and surgical instruments; 2) construct an efficient 6D pose estimation method for registering preoperative and intraoperative data, providing accurate guidance for surgical procedures.
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Learning-based vision system for marker-free external ventricular drain (EVD) neuronavigation
