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    • 1. 发明授权
    • Method for registering functional MRI data
    • 功能性MRI数据记录方法
    • US08965093B2
    • 2015-02-24
    • US13806509
    • 2011-12-21
    • Yong FanDi JiangTianzi Jiang
    • Yong FanDi JiangTianzi Jiang
    • G06T7/00
    • G06T7/0012G06T7/33G06T2200/04G06T2207/10088G06T2207/30016
    • A method for registering functional MRI data, comprising: computing the functional connectivity pattern for every voxel in its given spatial neighborhood for every fMRI image; extracting features invariant to spatial location of the neighboring voxels based on the functional connectivity patterns; constructing similarity metric between voxels of different images based on the extracted features, and using fluid-like demons registration model to spatial normalize the fMRI data. The present invention tries to exploit the multi-range functional connectivity information of the fMRI data, and to register functional MR images based on the extracted spatial-location-invariant features. The present invention is robust against local spatial perturbations and does not depend on the assumption that functional signals of different subjects are synchronic, hence can be applied to resting-state fMRI data, and can achieve a statistically significant improvement in functional consistency across subjects.
    • 一种用于登记功能性MRI数据的方法,包括:为每个fMRI图像计算其给定空间邻域中的每个体素的功能连接性模式; 基于功能连通性模式提取不相邻体素空间位置的特征; 基于提取的特征构建不同图像的体素之间的相似性度量,并使用流体样恶魔注册模型对fMRI数据进行空间归一化。 本发明试图利用fMRI数据的多范围功能连接性信息,并且基于所提取的空间位置不变特征来注册功能性MR图像。 本发明对于局部空间扰动是鲁棒的,并且不依赖于不同主体的功能信号是同步的假设,因此可以应用于静息状态的fMRI数据,并且可以实现主体之间的功能一致性的统计学显着的改善。
    • 2. 发明申请
    • METHOD FOR REGISTERING FUNCTION MRI DATA
    • 注册功能MRI数据的方法
    • US20130177228A1
    • 2013-07-11
    • US13806509
    • 2011-12-21
    • Yong FanDi JiangTianzi Jiang
    • Yong FanDi JiangTianzi Jiang
    • G06T7/00
    • G06T7/0012G06T7/33G06T2200/04G06T2207/10088G06T2207/30016
    • A method for registering functional MRI data, comprising: computing the functional connectivity pattern for every voxel in its given spatial neighborhood for every fMRI image; extracting features invariant to spatial location of the neighboring voxels based on the functional connectivity patterns; constructing similarity metric between voxels of different images based on the extracted features, and using fluid-like demons registration model to spatial normalize the fMRI data. The present invention tries to exploit the multi-range functional connectivity information of the fMRI data, and to register functional MR images based on the extracted spatial-location-invariant features. The present invention is robust against local spatial perturbations and does not depend on the assumption that functional signals of different subjects are synchronic, hence can be applied to resting-state fMRI data, and can achieve a statistically significant improvement in functional consistency across subjects.
    • 一种用于登记功能性MRI数据的方法,包括:为每个fMRI图像计算其给定空间邻域中的每个体素的功能连接性模式; 基于功能连通性模式提取不相邻体素空间位置的特征; 基于提取的特征构建不同图像的体素之间的相似性度量,并使用流体样恶魔注册模型对fMRI数据进行空间归一化。 本发明试图利用fMRI数据的多范围功能连接性信息,并且基于所提取的空间位置不变特征来注册功能性MR图像。 本发明对于局部空间扰动是鲁棒的,并且不依赖于不同主体的功能信号是同步的假设,因此可以应用于静息状态的fMRI数据,并且可以实现主体之间的功能一致性的统计学显着的改善。