基于区域增长的ICA算法在fMRI数据处理上的应用探讨
脑;功能磁共振成像;独立成分分析;区域增长;BOLD,,脑;功能磁共振成像;独立成分分析;区域增长;BOLD,【摘要】,【关键词】,0引言
Application of independent component analysis algorithm based on region growing for processing the fMRI dataWU Fei, SU Min, XIAO Ke
School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China
【Abstract】 AIM: To discuss the application of independent component analysis (ICA) algorithm based on region growing in processing the functional magnetic resonance imaging (fMRI) data. METHODS: Firstly, a preprocessing to the fMRI signal with region growing method was performed for simplifying the fMRI data. Then, the ICA algorithm was used to separate the fMRI data. Finally, the activation of fMRI signals was detected by calculating the correlation coefficients. RESULTS: Simulation and real fMRI data experiment showed that the proposed method was effective and the run time was reduced significantly from (6.8534±0.0179) s to (1.6282±0.0435) s. CONCLUSION: The algorithm can reduce the complexity of fMRI data and improve the efficiency.
【Keywords】 brain; functional magnetic resonance imaging; independent component analysis; region growing; blood oxygenation level dependent ......
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