PROCESSING STRATEGIES FOR TIME-COURSE DATA SETS IN FUNCTIONAL MRI OF THE HUMAN BRAIN
PROCESSING STRATEGIES FOR TIME-COURSE DATA SETS IN FUNCTIONAL MRI OF THE HUMAN BRAIN
复制标题
DOI：
10.1002/mrm.1910300204
复制
发表时间：
1993-08-01
影响因子：
3.3
通讯作者：
HYDE, JS
中科院分区：
文献类型：
--
作者：
BANDETTINI, PA;JESMANOWICZ, A;HYDE, JS
功能磁共振成像（FMRI）数据集采集使用梯度召回回波平面成像序列的图像处理策略被认为是。使用向量空间数学进行分析。由相同脑组织切片的N个连续图像组成的数据集在时域中进行分析，并且在傅立叶变换后在频域中进行分析。介绍了一种阈值处理技术，该技术使用像素中的响应形状与参考波形的形状相比作为决策标准。提出了一种方法来消除由受试者移动引起的数据漂移。该方法适用于实验功能磁共振成像数据从运动皮层，并与更传统的图像相减方法。几个手指运动范例被认为是在各种图像处理策略的上下文中。用于图像处理的最有效的方法涉及通过形状进行阈值化，所述形状的特征在于数据相对于参考波形的相关系数，随后形成互相关图像。重点不仅放在图像形成上，而且还放在使用信号处理技术来表征大脑对范例的时间响应上。
Image processing strategies for functional magnetic resonance imaging (FMRI) data sets acquired using a gradient-recalled echo-planar imaging sequence are considered. The analysis is carried out using the mathematics of vector spaces. Data sets consisting of N sequential images of the same slice of brain tissue are analyzed in the time-domain and also, after Fourier transformation, in the frequency domain. A technique for thresholding is introduced that uses the shape of the response in a pixel compared with the shape of a reference waveform as the decision criterion. A method is presented to eliminate drifts in data that arise from subject movement. The methods are applied to experimental FMRI data from the motor-cortex and compared with more conventional image-subtraction methods. Several finger motion paradigms are considered in the context of the various image processing strategies. The most effective method for image processing involves thresholding by shape as characterized by the correlation coefficient of the data with respect to a reference waveform followed by formation of a cross-correlation image. Emphasis is placed not only on image formation, but also on the use of signal processing techniques to characterize the temporal response of the brain to the paradigm.