基于小波变换的功能磁共振数据处理方法

Functional MRI data analysis based on wavelet transform

近年来,小波变换在功能磁共振成像(fMRI)数据分析中获得了广泛的应用,小波变换的一些独特的性质使之非常适合于fMRI数据的处理。本文对基于小波变换的fMRI数据分析方法予以综述,指出了基于小波变换的分析方法的优势和局限性,并对这类方法的发展趋势进行了展望。

The wavelet transform has applied in analysis fMRI data extensively in recent years. The interesting properties of the wavelet transform make it very adaptable to fMRI data analysis. In this paper, we give an overview of wavelet-based techniques for fMRI data analysis. The advantages and limitations of these methods compared with the traditional methods are given. The trends of this method applied to the analysis of fMRI data were proposed in the final part of this paper, which support the standpoint that this new potential approach could be used to mining the fMRI data.