Optimal boundary conditions for model based brain shift simulation in deep brain stimulation surgery

Chen Li; Xiaoyao Fan; Joshua Aronson; Keith Paulsen

doi:10.1117/12.2582315

17 February 2021 Optimal boundary conditions for model based brain shift simulation in deep brain stimulation surgery

Chen Li, Xiaoyao Fan, Joshua Aronson, Keith Paulsen

Proceedings Volume 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling; 115982J (2021) https://doi.org/10.1117/12.2582315
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

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.

Conference Presentation

Citation Download Citation

Chen Li, Xiaoyao Fan, Joshua Aronson, and Keith Paulsen "Optimal boundary conditions for model based brain shift simulation in deep brain stimulation surgery", Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, 115982J (17 February 2021); https://doi.org/10.1117/12.2582315

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