Chakravarty M Mallar, Sadikot Abbas F, Mongia Sanjay, Bertrand Gilles, Collins D Louis
McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):389-96. doi: 10.1007/11866763_48.
Digital brain atlases can be used in conjuction with magnetic resonance imaging (MRI) and computed tomography (CT) for planning and guidance during neurosurgery. Digital atlases are advantageous since they can be warped nonlinearly to fit each patient's unique anatomy. Functional neurosurgery with implantation of deep brain stimulating (DBS) electrodes requires accurate targeting, and has become a popular surgical technique in Parkinsonian patients. In this paper, we present a method for integrating postoperative data from subthalamic (STN) DBS implantation into an antomical atlas of the basal ganglia and thalamus. The method estimates electrode position from post-operative magnetic resonance imaging (MRI) data. These electrodes are then warped back into the atlas space and are modelled in three dimensions. The average of these models is then taken to show the region where the majority of STN DBS electrodes were implanted. The group with more favorable post-operative results was separated from the group which responded to the STN DBS implantation procedure less favourably to create a probablisitic distribution of DBS in the STN electrodes.
数字脑图谱可与磁共振成像（MRI）和计算机断层扫描（CT）结合使用，以在神经外科手术期间进行规划和指导。数字图谱具有优势，因为它们可以进行非线性变形以适应每个患者独特的解剖结构。植入深部脑刺激（DBS）电极的功能神经外科手术需要精确靶向，并且已成为帕金森病患者中一种流行的外科技术。在本文中，我们提出了一种将丘脑底核（STN）DBS植入术后数据整合到基底神经节和丘脑解剖图谱中的方法。该方法从术后磁共振成像（MRI）数据估计电极位置。然后将这些电极变形回图谱空间并进行三维建模。接着取这些模型的平均值以显示大多数STN DBS电极植入的区域。将术后结果较好的组与对STN DBS植入手术反应较差的组分开，以创建STN电极中DBS的概率分布。
