Browsing by Author "Hoffmann, Devy"

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    Structural adaptive smoothing for single-subject analysis in SPM: the aws4SPM-toolbox
    (Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2008) Hoffmann, Devy; Tabelow, Karsten
    There exists a variety of software tools for analyzing functional Magnetic Resonance Imaging data. A very popular one is the freely available SPM package by the Functional Imaging Laboratory at the Wellcome Department of Imaging Neuroscience. In order to enhance the signal-to-noise ratio it provides the possibility to smooth the data in a pre-processing step by a Gaussian filter. However, this comes at the cost of reducing the effective resolution. In a series of recent papers it has been shown, that using a structural adaptive smoothing algorithm based on the Propagation-Separation method allows for enhanced signal detection while preserving the shape and spatial extent of the activation areas. Here, we describe our implementation of this algorithm as a toolbox for SPM.