Neurosurgery is a technically difficult discipline, requiring particular dexterity and ability from the surgeon. Brain matter is extremely delicate; it is very susceptible to injuries, has limited regeneration capacity, and the risk of damaging or rupturing critical anatomical structures is higher than in other surgical areas [1, 2]. Recent developments in image-guidance technology have been able to provide crucial assistance to the surgeon, combining pre-operative scans with live imaging and tool tracking to offer intuitive navigation systems. A method that has gained increasing attention from the clinical community is Augmented Reality (AR). The term AR refers to an" image-enhanced operating environment"[3] generated by integrating a video feed of the operative space with a virtual rendering of subsurface anatomy and critical structures, which are recreated from pre-operative scans of the patient. The scene is then visualised on a 3D screen or through a head-mounted display. One of the operations for which AR could be vital not only for intra-operative navigation and guidance, but also for planning and training, is brain tumour resection. Optimal paths and entry points must be identified and followed during the intervention, and tissue damage must be minimised in order to avoid complications and speed up recovery. AR is appealing as it allows surgeons to understand and judge the position of a hidden target or follow predefined paths without looking away from the screen [4].