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Temporal frequency analysis of dynamic MRI techniques
Author(s) -
Wu Yijing,
Alexander Andrew L.
Publication year - 2001
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.1074
Subject(s) - sampling (signal processing) , computer science , dynamic contrast enhanced mri , dynamic imaging , k space , signal (programming language) , algorithm , mathematics , artificial intelligence , computer vision , magnetic resonance imaging , fourier transform , image processing , medicine , mathematical analysis , filter (signal processing) , digital image processing , image (mathematics) , radiology , programming language
Dynamic imaging strategies often involve updating certain areas of k ‐space (i.e., the low spatial frequencies) more frequently than others. However, important dynamic signal changes may occur anywhere in k ‐space. In this study, a dynamic k ‐space sampling analysis method was developed to determine the energy error associated with specific dynamic sampling strategies. The method uses the temporal power spectrum of k ‐space signals to determine the level and k ‐space locations of sampling errors. The proposed method was used to compare two dynamic sampling strategies (full sequential and keyhole) for a dynamic first‐pass bolus simulation and a continuous heart imaging study. The error analysis agreed well with the errors in the reconstructed images. The technique can be used to determine the minimum sampling frequency for any location in the k ‐space, and may ultimately be used to optimize dynamic sampling strategies. Magn Reson Med 45:550–556, 2001. © 2001 Wiley‐Liss, Inc.