TY - GEN A1 - Polzehl, Jörg A1 - Voss, Henning U. A1 - Tabelow, Karsten T1 - Structural adaptive segmentation for statistical parametric mapping N2 - Functional 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. KW - Image Enhancement KW - Functional Magnetic Resonance Imaging KW - Structural Adaptive Smoothing KW - Multiscale Testing Y1 - 2010 UR - https://opus4.kobv.de/opus4-matheon/frontdoor/index/index/docId/685 UR - https://nbn-resolving.org/urn:nbn:de:0296-matheon-6853 ER -