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Automatic and Precise Localization and Cortical Labeling of Subdural and Depth Intracranial Electrodes

机译:硬膜下和深度颅内电极的自动精确定位和皮质标记

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摘要

Object: Subdural or deep intracerebral electrodes are essential in order to precisely localize epileptic zone in patients with medically intractable epilepsy. Precise localization of the implanted electrodes is critical to clinical diagnosing and treatment as well as for scientific studies. In this study, we sought to automatically and precisely extract intracranial electrodes using pre-operative MRI and post-operative CT images.Method: The subdural and depth intracranial electrodes were readily detected using clustering-based segmentation. Depth electrodes were tracked by fitting a quadratic curve to account for potential bending during the neurosurgery. The identified electrodes can be manipulated using a graphic interface and labeled to cortical areas in individual native space based on anatomical parcellation and displayed in the volume and surface space.Results: The electrodes' localizations were validated with high precision. The electrode coordinates were normalized to a standard space. Moreover, the probabilistic value being to a specific area or a functional network was provided.Conclusions: We developed an integrative toolbox to reconstruct and label the intracranial electrodes implanted in the patients with medically intractable epilepsy. This toolbox provided a convenient way to allow inter-subject comparisons and relation of intracranial EEG findings to the larger body of neuroimaging literature.
机译:目的:硬膜下或深层脑内电极对于精确定位难治性癫痫患者的癫痫区至关重要。植入电极的精确定位对于临床诊断和治疗以及科学研究至关重要。在这项研究中,我们寻求使用术前MRI和术后CT图像自动,精确地提取颅内电极。方法:使用基于聚类的分割法很容易检测到硬膜下和深度颅内电极。通过拟合二次曲线来跟踪深度电极,以说明神经外科手术期间潜在的弯曲。可以使用图形界面对识别出的电极进行操作,并根据解剖结构将其标记为单个自然空间中的皮质区域,并显示在体积和表面空间中。结果:电极的位置经过了高精度验证。电极坐标被标准化为标准空间。此外,还提供了针对特定区域或功能网络的概率值。结论:我们开发了一种集成工具箱,用于重建和标记植入有医学上难治性癫痫病患者的颅内电极。该工具箱提供了一种方便的方法,允许进行受试者之间的比较以及颅内​​脑电图结果与更大范围的神经影像学文献之间的关系。

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