Analysis of fMRI data by mathematical morphology

Based on investigation of the characteristic of fMRI signals in block design, we present a mathematical morphology method for fMRI analysis. With both simulated data and real fMRI data, the results of our experiments show that the proposed method can approximately detect the activations without requiring any statistical model assumption. The proposed method is fairly easy to be implemented. It also can be used for improving the accuracy of clustering methods, and reducing the computational cost. ©2010 IEEE.