2001 | OriginalPaper | Buchkapitel
Estimation of Baseline Drifts in fMRI
verfasst von : François G. Meyer, Gregory McCarthy
Erschienen in: Information Processing in Medical Imaging
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This work provides a new method to estimate and remove baseline drifts in the fMRI signal. The baseline drift in each time series is described as a superposition of physical and physiological phenomena that occur at different scales. A fast algorithm, based on a wavelet representation of the data yields detrended time-series. Experiments with fMRI data demonstrate that our detrending technique can infer and remove drifts that cannot be adequately represented with low degree polynomials. Our detrending technique resulted in a noticeable improvement by reducing the number of false positive and the number of false negative.