Optimal boundary conditions for model based brain shift simulation in deep brain stimulation surgery
Optimal boundary conditions for model based brain shift simulation in deep brain stimulation surgery
复制标题
深部脑刺激手术中基于模型的脑移位模拟的最佳边界条件
DOI：
10.1117/12.2582315
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
K. Paulsen
中科院分区：
文献类型：
--
作者：
Chen Li;Xiaoyao Fan;J. Aronson;K. Paulsen
Brain shift is a confounder to the accuracy of electrode lead placement during deep brain stimulation (DBS) surgery. Model based image updating method can compensate for brain shift with high efficiency and accuracy. A key element to achieving clinically accepted accuracy using our biomechanical brain model is designating rigorous boundary conditions (BCs) that define general physics of the model. In this retrospective study, we searched for a set of six optimal BCs such as gravitational direction and level of CSF for our model to simulate accurate brain shift in DBS lead placement surgery. Specifically, we conducted 9072 trials of brain shift simulation with varying boundary conditions and deep brain sparse data for three training cases and applied these parameters to three testing cases for evaluation. The optimal set of parameters was determined based on lowest target registration error (TRE) evaluated at five deep brain landmarks near the subthalamus area. We show that simulations with optimal BCs compensated 61.28% and 50.06% of brain shift on average in two of the three testing cases where large brain deformation occurred and 26.5% in one testing case of small brain shift. In comparison, optimal BCs delivered consistent and accurate prediction of brain shift at all deep brain landmarks in both training and testing cases whereas default sets of BCs produced similar results at some landmarks but underperformed for the rest. With only deep brain sparse data and a set of optimal BCs, our biomechanical brain model can achieve significant brain shift compensation in DBS cases and Its clinical utility will be examined in surgical cases in future OR.
