基于统计参数图的脑功能磁共振成像数据处理方法

Data Processing of Functional Magnetic Resonance of Brain Based on Statistical Parametric Mapping

介绍了基于统计参数图的脑功能磁共振成像数据处理方法。脑功能磁共振成像由于其高的时间、空间分辨率、无创性等特点而得到广泛的应用。使用统计参数图进行脑功能成像的数据处理过程主要分为:原始数据的读取、图像预处理、统计分析和统计推论。图像预处理包括运动伪影的消除、图像标准化、图像空间平滑;统计分析包括广义线性模型的建立;统计推论包括T检验等。重点介绍了各个过程所使用的传统的处理方法和最新的处理方法。

This paper introduces the data processing of functional magnetic resonance imaging（fMRI） of brain based on statistical parametric mapping （SPM）. Because of its excellent spatial resolution and temporal resolution as well as its noninvasive approach with no involvement in the injection of radioactive materials, the fMRI of brain has been widely used by brain researchers in the world. There are four steps in the processing,i, e. reading the raw data, pre-processing, statistical analysis of the data and model estimation. The pre-processing includes motion correction, normalization, spatial smoothing and temporal smoothing. The statistical analysis of the data includes building the general linear model. Model estimation includes serial T-test and inspecting the activation region. In this paper, emphases are laid on the new methods in every processing.