Statistical Parametric Mapping (SPM)



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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