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SMACKER is a method of calculating sensitivity maps from k-space reconstruction coefficients using only a few lines of inner k-space. In this method the problem of sensitivities ending at object boundaries is eliminated, unlike in other established methods. The method allows for the rapid calculation of sensitivity profiles from images, and it is proposed here that the approach can be used in functional MRI to obtain reconstructed images in little time. Functional MRI relying on fast parallel reconstruction techniques naturally lends itself to a method that can generate and use sensitivity maps directly from images.