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Detrending phase drift: A preprocessing step to improve the effectiveness of the UNFOLD technique
Author(s) -
Hu Yanle
Publication year - 2011
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.22455
Subject(s) - aliasing , computer science , preprocessor , artificial intelligence , computer vision , filter (signal processing) , anti aliasing , pattern recognition (psychology) , speech recognition , audio signal processing , speech coding , audio signal
Purpose To improve the effectiveness of the UNFOLD technique in removing aliasing artifacts by detrending temporal phase drift in each voxel before the implementation of the UNFOLD technique. This is because linear and quadratic phase trends in temporal signal can shift and broaden aliasing peaks in the spectrum and cause the removal of aliasing artifacts by spectral filtering to be insufficient or even fail when minimal filtering of the spectrum is used. Materials and Methods A functional magnetic resonance imaging (fMRI) study with a visual stimulus was performed on normal subjects to test the hypothesis. A 2D spiral‐in/out sequence was used to acquire k ‐space data. Undersampled k ‐space trajectories were used to improve temporal resolution. Aliasing artifacts were removed by the UNFOLD technique. For comparison, two image sets, with and without phase trends removal, were obtained from each set of functional data. Results After detrending temporal phase drift, residual aliasing artifacts that were not suppressed by the standard UNFOLD technique could be successfully removed. Better image quality, temporal stability, and activation maps could be achieved by the proposed method. Conclusion The proposed method can improve the effectiveness of the UNFOLD technique in removing aliasing artifacts when spectral filtering is kept minimal to preserve temporal resolution. J. Magn. Reson. Imaging 2011;. © 2011 Wiley‐Liss, Inc.