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Time Slice Analysis Method Based on OTCA Used in fMRI Weak Signal Function Extraction
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作者 罗森林 黎力 +1 位作者 张新丽 张铁梅 《Journal of Beijing Institute of Technology》 EI CAS 2007年第4期443-447,共5页
The original temporal clustering analysis (OTCA) is an effective technique for obtaining brain activation maps when the timing and location of the activation are completely unknown, but its deficiency of sensitivity i... The original temporal clustering analysis (OTCA) is an effective technique for obtaining brain activation maps when the timing and location of the activation are completely unknown, but its deficiency of sensitivity is exposed in processing brain activation signal which is relatively weak. The time slice analysis method based on OTCA is proposed considering the weakness of the functional magnetic resonance imaging (fMRI) signal of the rat model. By dividing the stimulation period into several time slices and analyzing each slice to detect the activated pixels respectively after the background removal, the sensitivity is significantly improved. The inhibitory response in the hypothalamus after glucose loading is detected successfully with this method in the experiment on rat. Combined with the OTCA method, the time slice analysis method based on OTCA is effective on detecting when, where and which type of response will happen after stimulation, even if the fMRI signal is weak. 展开更多
关键词 functional magnetic resonance imaging (fMRI) time cluster analysis (TCA) original temporal clustering analysis (OTCA) time slice analysis method
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