A functional connectivity inspired approach to non-local fMRI analysis

Abstract

We propose non-local analysis of functional magnetic resonance imaging (fMRI) data in order to detect more brain activity. Our non-local approach combines the ideas of regular fMRI analysis with those of functional connectivity analysis, and was inspired by the non-local means algorithm that commonly is used for image denoising. We extend canonical… (More)
DOI: 10.1109/ICIP.2012.6467092

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