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Proceedings Paper

Wavelet ANOVA and fMRI
Author(s): Jonathan Raz; Bruce I. Turetsky
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Paper Abstract

We propose Wavelet ANOVA, a simple general-purpose statistical method for analysis of signals and images. We emphasize the application of the method to functional magnetic resonance imaging (fMRI). Wavelet ANOVA combines the false discovery rate approach to multiple comparisons with block wavelet thresholding and linear statistical models. We discuss the relationship of Wavelet ANOVA to a similar method of Ruttimann, et al. We illustrate the application of Wavelet ANOVA to analysis of an fMRI data set.

Paper Details

Date Published: 26 October 1999
PDF: 10 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366814
Show Author Affiliations
Jonathan Raz, Univ. of Pennsylvania (United States)
Bruce I. Turetsky, Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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