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Comparison of Fourier and wavelet resampling methods
Author(s) -
Laird Angela R.,
Rogers Baxter P.,
Meyerand M. Elizabeth
Publication year - 2004
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.10671
Subject(s) - resampling , wavelet , mathematics , pattern recognition (psychology) , statistic , artificial intelligence , fourier transform , sampling distribution , voxel , computer science , test statistic , statistics , statistical hypothesis testing , mathematical analysis
Abstract Resampling can be used to compute the null distribution of any test statistic for the purpose of measuring the significance of the measured value. This study investigated how well the spatial and temporal correlations of simulated and experimentally observed fMRI time series were preserved under Fourier and wavelet resampling methods. The null distributions of a test statistic estimated by each resampling method were compared. In addition, both resampling methods were applied to locate activated voxels in an fMRI dataset and ROC analysis showed that wavelet resampling performed more accurately than Fourier resampling. Magn Reson Med 51:418–422, 2004. © 2004 Wiley‐Liss, Inc.