Drift correction in fMRI signal based on mathematical morphology / 中国医学影像技术

ABSTRACT

Objective To establish a new approach based on mathematical morphology that can effectively reduce the drifts in functional magnetic resonance imaging (fMRI) signals. Methods Based on investigation of the characteristic of drifted fMRI signals, a mathematical morphology method for baseline drift correction was presented. Results With both simulated data and real fMRI data, the results of the experiment showed that the mathematical morphology method can effectively correct the baseline drifts. Conclusion Both linear and nonlinear drifts can be removed with the proposed method without any statistical model assumption.