The aim of this project is to develop novel computational methods to accurately predict the treatment volume for laser interstitial thermal therapy (LiTT) applied to neurosurgery. LiTT allows for minimally invasive focal destruction of tissue around a laser catheter that is placed using keyhole stereotactic surgery. Current standard of care is for an expert neurosurgeon to determine the best placement of the laser, typically using a crude geometric estimation of a cylinder around the laser catheter. However, brain vascularity, proximity to bone and the ventricles results in asymmetric tissue heating which result in ablation volumes which either risk damaging critical structures (brain stem, optic and facial nerves) or insufficiently ablating targets of interest. We aim to develop patient specific models to predict expected ablation volume to enable computer-assisted planning of LiTT trajectories which optimise ablating the treatment volume and minimise risk of damaging surrounding critical structures.