Fuzzy Cluster Method based on RV measure for functional MRI data analysis

摘要：

　　Functional magnetic resonance imaging (fMRI) has become one of the important tools of functional connectivity studies of the human brain.Fuzzy clustering method (FCM) is a common method for analysis of fMRI data.Traditional FCA methods measure the similarity between the BOLD time course ofa centroid and the ones of all other voxels in the brain on the basis of Pearson correlation coefficient.This article puts forward a multi-voxel-based RV coefficient similarity measure to overcome the defects of traditional similarity distance measure in FCM.The experimental results show that the RV-based FCA method has not only improved the speed of FCA,but has comparatively raised the accuracy of the method.

关键词： fMRI FCA Pearson coefficient RV coefficient

作者: Han Wang Weiming Zeng

作者单位: Department of Information Engineering Shanghai Maritime University Shanghai,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 394-397

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）