Computational modelling and prediction of brain shift to improve surgical navigation

脑转移的计算建模和预测以改善手术导航

• 批准号: 2118879
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2118879
• 关键词: Computational; modelling; prediction; brain; shift

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.

用于治疗脑肿瘤和帕金森病等疾病的神经外科手术通常需要插入导管以将药物输送到大脑的特定部位，或插入电极以实现精确的靶向刺激。重要的是要能够准确地放置这些，并避免大脑的关键部位。使用术前MRI图像规划手术轨迹，并使用机器人系统设置相对于颅骨的正确方向。然而，大脑是柔软的，当颅骨被打开进行手术时会四处移动，影响特定特征的准确性。