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fMRI time series analysis based on stationary wavelet and spectrum analysis
Zhi Lianhe; Zhao Xia; Shan Baoci; et al.
2006-11-01
发表期刊PROGRESS IN NATURAL SCIENCE
卷号16期号:11页码:1171-1176
文章类型Article
摘要The low signal to noise ratio (SNR) of functional MRI (fMRI) prefers more sensitive data analysis methods. Based on stationary wavelet transform and spectrum analysis' a new method with high detective sensitivity was developed for analyzing fMRI time series' which does not require any prior assumption of the characteristics of noises. In the proposed method' every component of fMRI time series in the different time-frequency scales of stationary wavelet transform was discerned by the spectrum analysis' then the components from noises were removed using the stationary wavelet transform' finally the components of real brain activation were detected by cross-correlation analysis. The results obtained from both simulated and in vivo visual experiments illustrated that the proposed method has much higher sensitivity than the traditional cross-correlation method.
关键词Fmri Stationary Wavelet Transform Spectrum Analysis Data Analysis
WOS标题词Science & Technology ; Technology
关键词[WOS]FUNCTIONAL MRI ; HUMAN BRAIN ; RESPONSES ; SIGNAL
收录类别SCI
语种英语
WOS研究方向Materials Science ; Science & Technology - Other Topics
WOS类目Materials Science, Multidisciplinary ; Multidisciplinary Sciences
WOS记录号WOS:000243150800007
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9359
专题09年以前成果
通讯作者Zhi Lianhe
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Zhi Lianhe,Zhao Xia,Shan Baoci,et al. fMRI time series analysis based on stationary wavelet and spectrum analysis[J]. PROGRESS IN NATURAL SCIENCE,2006,16(11):1171-1176.
APA Zhi Lianhe,Zhao Xia,Shan Baoci,&et al..(2006).fMRI time series analysis based on stationary wavelet and spectrum analysis.PROGRESS IN NATURAL SCIENCE,16(11),1171-1176.
MLA Zhi Lianhe,et al."fMRI time series analysis based on stationary wavelet and spectrum analysis".PROGRESS IN NATURAL SCIENCE 16.11(2006):1171-1176.
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