Estimation of Baseline Drifts in fMRI

  • Authors:

  • François G. Meyer;Gregory McCarthy

  • Affiliations:

  • -;-

  • Venue:
  • IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
  • Year:
  • 2001

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Abstract

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.