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  • Spatio-temporal data analysis with non-linear filters : brain mapping with fMRI data
    Rodenacker, Karsten ...
    Spatio-temporal digital data from fMRI (functional Magnetic Resonance Imaging)are used to analyse and to model brain activation. To map brain functions, a well-defined sensory activation is offered ... to a test person and the hemodynamic response to neuronal activity is studied. This so-called BOLD effect in fMRI is typically small and characterised by a very low signal to noise ratio. Hence the activation is repeated and the three dimensional signal(multi-slice 2D) is gathered during relatively long time ranges (3-5 min). From the noisy and distorted spatio-temporal signal the expected response has to be filtered out. Presented methods of spatio-temporal signal processing base on non-linear concepts of data reconstruction and filters of mathematical morphology (e.g. alternating sequential morphological filters). Filters applied are compared by classifications of activations.
    Vir: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 19, no. 3, nov. 2000, str. 189-194)
    Vrsta gradiva - članek, sestavni del
    Leto - 2000
    Jezik - angleški
    COBISS.SI-ID - 12683225

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    Digitalna knjižnica Slovenije - dLib.si

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