Pallavaram Srivatsan, D'Haese Pierre-Francois, Kao Chris, Yu Hong, Remple Michael, Neimat Joseph, Konrad Peter, Dawant Benoit
Dept. Of Electrical Eng. & Computer Science, Vanderbilt University, Nashville, TN, USA.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):670-7. doi: 10.1007/978-3-540-85988-8_80.
Electrophysiological maps based on a Gaussian kernel have been proposed as a means to visualize response to stimulation in deep brain stimulation (DBS) surgeries. However, the Gaussian model does not represent the underlying physiological phenomenon produced by stimulation. We propose a new method to create physiological maps, which relies on spherical shell kernels. We compare our new maps to those created with Gaussian kernels and show that, on simulated data, this new approach produces more realistic maps. Experiments we have performed with real patient data show that our new maps correlate well with the underlying anatomy. Finally, we present preliminary results on an ongoing study assessing the value of these maps as pre-operative planning and intra-operative guidance tools.
基于高斯核的电生理图谱已被提议作为一种在深部脑刺激（DBS）手术中可视化刺激反应的方法。然而，高斯模型并不能代表刺激所产生的潜在生理现象。我们提出了一种创建生理图谱的新方法，该方法依赖于球壳核。我们将我们的新图谱与用高斯核创建的图谱进行比较，并表明，在模拟数据上，这种新方法能产生更逼真的图谱。我们对真实患者数据进行的实验表明，我们的新图谱与潜在解剖结构具有良好的相关性。最后，我们展示了一项正在进行的研究的初步结果，该研究评估这些图谱作为术前规划和术中指导工具的价值。
