Computational modelling and prediction of brain shift to improve surgical navigation

治疗脑肿瘤和帕金森氏症等疾病的神经外科手术通常需要插入导管，将药物输送到大脑的特定部位，或者插入电极，以实现精确的靶向刺激。能够准确地放置这些部位并避开大脑的关键部位是很重要的。手术轨迹是利用术前核磁共振图像规划的，机器人系统被用来设置相对于头骨的正确方向。然而，当头骨被打开进行手术时，大脑是柔软的，并且会四处移动，这会影响特定特征的定位精度。

Neurosurgical procedures for treatment of brain tumours and diseases such as Parkinson's disease often require the insertion of catheters to deliver drugs to particular parts of the brain, or electrodes to enable precisely targeted stimulation. It is important to be able to place these accurately and to avoid critical parts of the brain. Surgical trajectories are planned using preoperative MRI images and a robot system is used to set the correct direction relative to the skull. However, the brain is soft and moves around when the skull is opened for surgical access, affecting the accuracy with which particular features can be targeted.