摘要
在目前大脑认知功能的研究中,人们常常采用功能性磁共振(fMR I)技术.相关分析是常见的用于检测fMR I数据的方法,而其检测的准确度有一定局限性.在典型相关分析(CCA)基础上将时域相关系数与空域相关系数有机结合,并得到新的相关系数进行阈值分割,进而对fMR I数据进行提取.经过仿真数据与实际fMR I数据的应用分析,证明了本算法的有效性.
In the analysis of cognition of human brain , the fMRI is often used. Corelation is a common method in fMRI data detecting, but its ability should be improved. Based on the Canonical Correlation Analysis （ CCA）, the temporal correlation and spatial correlation are used together to detect the activated area in the fMRI data. By the application of the method in simulation data and fMRI data, it shows that this method is effective in the detecting.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第5期124-127,共4页
Journal of Chongqing University
基金
国家自然科学基金资助项目(90208003)
