Statistical Parametric Mapping (SPM)  Finn Årup Nielsen
 Abstract  An walkthrough of SPM with image registration, realignment, coregistration, spatial normalization, spatial smoothing, general linear model, general linear hypothesis, multiple testing correction and tools.
Note: The "Degrees of freedom is lost" remark on page 21 is wrt. and ANCOVA model, i.e., degrees of freedoms are lost in a paired test compared to an ANCOVA. The two paired ttest representations on page 21 are the equivalent. (Thanks to Ged Ridgway).  Keywords  image analysis, general linear model, image processing, image realignment  Type  Misc [Presentation]  Year  2006 Month March  Publisher  Informatics and Mathematical Modelling, Technical University of Denmark  Address  Richard Petersens Plads, Building 321, DK2800 Kgs. Lyngby  Note  From PhDcourse, University of Copenhagen, 2006 March  Electronic version(s)  [pdf]  BibTeX data  [bibtex]  IMM Group(s)  Intelligent Signal Processing 
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