fMRI time series analysis based on stationary wavelet and spectrum analysis
文献类型：期刊论文
| 作者 | Zhi LH(支联合); Dan BC(单保慈) ; Yan Q(闫强); Yuan XL(袁秀丽); Tang XW(唐孝威); Zhi, LH; Zhao, X; Shan, BC; Peng, SL; Yan, Q
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| 刊名 | PROGRESS IN NATURAL SCIENCE
 |
| 出版日期 | 2006 |
| 卷号 | 16期号:11页码:1171-1176 |
| 关键词 | fMRI stationary wavelet transform spectrurn analysis data analysis |
| 通讯作者 | Chinese Acad Sci, Inst High Energy Phys, Key Lab Nucl Anal Tech, Beijing 100049, Peoples R China ; Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China ; Zhoukou Normal Univ, Dept Phys, Zhoukou 466100, Peoples R China ; Univ Texas, Hlth Sci Ctr, Res Imaging Ctr, San Antonio, TX 78229 USA ; Chinese Acad Sci, Inst Automat, Natl ASIC Design & Engn Ctr, Beijing 100049, Peoples R China ; Zhejiang Univ, Dept Phys, Hangzhou 310027, Peoples R China |
| 英文摘要 | The low signal to noise ratio (SNR) of functional MRI (fMRI) prefers more sensitive data analysis methods. Based oil 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 front both simulated and in vivo visual experiments illustrated that the proposed method has much higher sensitivity than the traditional cross-correlation method. |
| 学科主题 | Materials Science; Science & Technology - Other Topics |
| 类目[WOS] | Materials Science, Multidisciplinary ; Multidisciplinary Sciences |
| 研究领域[WOS] | Materials Science ; Science & Technology - Other Topics |
| 原文出处 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000243150800007 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/239139]  |
| 专题 | 高能物理研究所_院士 高能物理研究所_粒子天体物理中心 |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Zhi LH,Dan BC,Yan Q,et al. fMRI time series analysis based on stationary wavelet and spectrum analysis[J]. PROGRESS IN NATURAL SCIENCE,2006,16(11):1171-1176. |
| APA | 支联合.,单保慈.,闫强.,袁秀丽.,唐孝威.,...&Tang, XW.(2006).fMRI time series analysis based on stationary wavelet and spectrum analysis.PROGRESS IN NATURAL SCIENCE,16(11),1171-1176. |
| MLA | 支联合,et al."fMRI time series analysis based on stationary wavelet and spectrum analysis".PROGRESS IN NATURAL SCIENCE 16.11(2006):1171-1176. |
入库方式： OAI收割
来源：高能物理研究所
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