Spatial Registration of fMRI Data Using Functional Correlation Tensors

Inter-subject registration of functional MRI (fMRI) data is a key step for group analysis. Here, we propose a novel registration strategy that considers functional information from both gray matter (GM) and white matter (WM). This is achieved using functional correlation tensors (FCTs), which capture the local correlation of the BOLD signals. Features extracted from both GM and WM functional correlation tensors are utilized in a multi-channel Large Deformation Diffeomorphic Metric Mapping (LDDMM) registration framework for fMRI registration. Experimental results indicate that our method can achieve better functional registration compared with state-of-the-art methods.