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2. 发明申请

US20160196649A1 METHOD FOR DETERMINING AN INTRACORTICAL WORKING STATE OF A FUNCTIONAL NETWORK IN THE BRAIN 审中-公开
标题翻译：确定大脑中功能性网络的工作状态的方法
公开(公告)号：US20160196649A1
公开(公告)日：2016-07-07
申请号：US14989178
申请日：2016-01-06
申请人： Siemens Healthcare GmbH
发明人： Tian Yi Qian
IPC分类号： G06T7/00 , A61B5/145 , A61B5/00 , A61B5/055
CPC分类号： G06T7/0012 , A61B5/0042 , A61B5/055 , A61B5/14542 , A61B5/4064 , A61B2576/026 , G06T2207/10016 , G06T2207/10088 , G06T2207/20076 , G06T2207/30016
摘要： A method for determining an intracortical working state of a functional network of the brain includes acquiring a number of first blood oxygen saturation level time point vectors of a number of gray matter voxels of a cortex of a brain functional network template, each of the blood oxygen saturation level time point vectors respectively having blood oxygen saturation level signals of each of the gray matter voxels at a number of continuous time points in a particular time period. The method further includes clustering the blood oxygen saturation level time point vectors as a number of gray matter voxel cooperative time point categories by taking the blood oxygen saturation level signals as objects, the gray matter voxel cooperative time point categories being sets of a number of discrete time points of the gray matter voxels respectively in the particular time period. The method includes determining the number of gray matter voxel cooperative time point categories as the intracortical working state of the first cortex.
摘要翻译：一种用于确定脑的功能网络的皮质内工作状态的方法包括获取大脑功能网络模板的皮质的多个灰度体素的多个第一血氧饱和度时间点向量，每个血氧饱和度时间点矢量，分别具有在特定时间段内的多个连续时间点的每个灰度体素的血氧饱和度信号。该方法还包括通过以血氧饱和度水平信号为对象，将血氧饱和度时间点矢量聚类为多个灰体体素协作时间点类别，灰色体素合作时间点分类是多个离散的分别在特定时间段内的灰度体素的时间点。该方法包括确定灰质体素合成时间点类别的数量作为第一皮层的皮质内工作状态。

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