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- ItemStructural adaptive segmentation for statistical parametric mapping(Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2010) Polzehl, Jörg; Voss, Henning U.; Tabelow, KarstenFunctional Magnetic Resonance Imaging inherently involves noisy measurements and a severe multiple test problem. Smoothing is usually used to reduce the effective number of multiple comparisons and to locally integrate the signal and hence increase the signal-to-noise ratio. Here, we provide a new structural adaptive segmentation algorithm (AS) that naturally combines the signal detection with noise reduction in one procedure. Moreover, the new method is closely related to a recently proposed structural adaptive smoothing algorithm and preserves shape and spatial extent of activation areas without blurring the borders.