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Proceedings Paper

Sliding window approach for analyzing fMRI time series
Author(s): Tianhu Lei
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Paper Abstract

Approach reported in this paper uses a sliding (rectangular) window on the original fMRI scans to produce the new scans. By selecting parameters of sliding windows, autocorrelation function (acf) among new scans can be reduced to a predicted level, and fMRI analysis will be performed on these new scans. Theoretical analysis showed that this level is 1/k (k is the window size). Simulations by using different window structures verified this conclusion and the graphic illustration provides an intuitive explanation.

Paper Details

Date Published: 3 July 1998
PDF: 6 pages
Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); doi: 10.1117/12.312578
Show Author Affiliations
Tianhu Lei, Univ. of Maryland Medical System (United States)


Published in SPIE Proceedings Vol. 3337:
Medical Imaging 1998: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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