Statistical Parametric Mapping (SPM)

Finn Årup Nielsen

AbstractAn 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 t-test representations on page 21 are the equivalent. (Thanks to Ged Ridgway).
Keywordsimage analysis, general linear model, image processing, image realignment
TypeMisc [Presentation]
Year2006    Month March
PublisherInformatics and Mathematical Modelling, Technical University of Denmark
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby
NoteFrom PhD-course, University of Copenhagen, 2006 March
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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