SPM-based and ICA-based Approaches for Functional Magnetic Resonance Imaging (fMRI) Similarity Measures

Abstract I have been worked on two similarity measure techniques for fMRI images. One is SPM-based, which measure the similarity of Statistical Parametric Maps of the fMRI images, the other one is ICA-based, which measure,the similarity of the voxels based on the Independent Component Analysis. In the SPM- based tool, I have implemented two image grouping techniques, graph-theory clustering and Replicator Dynamics, in order to group similar fMRI images. In ICA-based tool, I used bipartite graph matching to measure the similarity between,fMRI images based on the similarities of the components.