Thompson Elizabeth A, Holland Scott K, Schmithorst Vincent J
Department of Engineering, Purdue University, Fort Wayne, Indiana 46805-1499, USA.
J Magn Reson Imaging. 2004 Oct;20(4):715-22. doi: 10.1002/jmri.20160.
To adapt the space-time adaptive processing (STAP) algorithm, previously developed in the field of sensor array processing and applied to radar signal processing, for use in construction of brain activation maps in functional magnetic resonance imaging (fMRI).
STAP is a two-dimensional filter in which both the spatial and temporal responses are controlled adaptively. It processes space-time data as a complete spatiotemporal set. Unlike presently used fMRI techniques, STAP locates activated regions both spatially and in frequency.
Computer simulations incorporating actual MRI noise indicate that STAP exhibits a high degree of accuracy in detecting the small signal intensity changes inherent in fMRI.
Because STAP processes space-time data as a single data matrix, it exhibits potential over currently available fMRI methods in providing a measure of the full spatiotemporal extent of a task-related activity.
使先前在传感器阵列处理领域开发并应用于雷达信号处理的时空自适应处理（STAP）算法适用于功能磁共振成像（fMRI）中脑激活图的构建。
STAP是一种二维滤波器，其空间和时间响应均自适应控制。它将时空数据作为一个完整的时空集进行处理。与目前使用的fMRI技术不同，STAP在空间和频率上定位激活区域。
包含实际MRI噪声的计算机模拟表明，STAP在检测fMRI中固有的小信号强度变化方面具有高度准确性。
由于STAP将时空数据作为单个数据矩阵进行处理，因此在提供与任务相关活动的完整时空范围的度量方面，它比目前可用的fMRI方法具有潜力。
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