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硬膜下和深部颅内电极的自动精确定位及皮质标记

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

作者信息

Qin Chaoyi, Tan Zheng, Pan Yali, Li Yanyan, Wang Lin, Ren Liankun, Zhou Wenjing, Wang Liang

机构信息

Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of PsychologyBeijing, China; Department of Psychology, University of Chinese Academy of SciencesBeijing, China.

Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of Psychology Beijing, China.

出版信息

Front Neuroinform. 2017 Feb 17;11:10. doi: 10.3389/fninf.2017.00010. eCollection 2017.

DOI:10.3389/fninf.2017.00010
PMID:28261083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5314105/
Abstract

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. 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. : 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. 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.

摘要

对于药物难治性癫痫患者,硬膜下或深部脑内电极对于精确确定癫痫区域至关重要。植入电极的精确定位对于临床诊断、治疗以及科学研究都至关重要。在本研究中,我们试图利用术前MRI和术后CT图像自动且精确地提取颅内电极。使用基于聚类的分割方法能够轻松检测到硬膜下和深部颅内电极。通过拟合二次曲线来追踪深部电极,以考虑神经外科手术过程中可能出现的弯曲情况。识别出的电极可通过图形界面进行操作,并基于解剖分割在个体原始空间中标记到皮质区域,然后在容积和表面空间中显示。电极的定位经过了高精度验证。电极坐标被归一化到标准空间。此外,还提供了指向特定区域或功能网络的概率值。我们开发了一个综合工具箱,用于重建和标记植入药物难治性癫痫患者体内的颅内电极。该工具箱提供了一种便捷的方式,便于进行受试者间比较以及将颅内脑电图结果与更广泛的神经影像文献联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/f90fcb61e321/fninf-11-00010-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/d6cc458891b3/fninf-11-00010-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/c867a3dc3007/fninf-11-00010-g0005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/f90fcb61e321/fninf-11-00010-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/d6cc458891b3/fninf-11-00010-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/ab47bed5bf40/fninf-11-00010-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/5c04ad082f8b/fninf-11-00010-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/31c9a9c1d737/fninf-11-00010-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/c867a3dc3007/fninf-11-00010-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/6626cdab3537/fninf-11-00010-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/fa09f92f05e6/fninf-11-00010-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcc/5314105/f90fcb61e321/fninf-11-00010-g0008.jpg

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Automatic segmentation of deep intracerebral electrodes in computed tomography scans.计算机断层扫描中脑深部电极的自动分割
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