Structural adaptive segmentation for statistical parametric mapping
- Polzehl, Jörg
- Voss, Henning U.
- Tabelow, Karsten
2010 Mathematics Subject Classification
- 92C55 62G10 62G08
- Image Enhancement, Functional Magnetic Resonance Imaging, Structural Adaptive Smoothing, Multiscale Testing
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.
- NeuroImage, 52 (2010) pp. 515--523.