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RLS-GRAPPA: Reconstructing Parallel MRI data with Adaptive FiltersW. S. Hoge, Fernando Gallego, Zhikui Xiao, Dana H. BrooksProc of 2008 IEEE Intl Symp on Biomedical Imaging (ISBI08) Pages 1537-1540 May, 2008 AbstractGRAPPA is one of the predominant methods used to reconstruct accelerated parallel MRI data. In has been shown previously that spatially varying the GRAPPA reconstruction coefficients can be advantageous. A significant problem with these approaches, however, is an increase in computation time due to an increase in the number of linear system solves needed. Here, we leverage the fact that these systems vary slowly over the coordinate space and employ recursive adaptive filters in place of explicit system solves. This approach produces high quality spatially variant GRAPPA reconstructions with a computation time comparable to standard GRAPPA. %%%%%%%%%%%%%%%%% lmi.bib, 2007 %%%%%%%%%%%%%%%%%%%%%%ReferenceHoge WS, Gallego F, Xiao Z, Brooks DH. RLS-GRAPPA: Reconstructing parallel MRI data with adaptive filters. In Proc of 2008 IEEE Intl Symp on Biomedical Imaging (ISBI08). Paris, France, 2008;1537-1540.Bibtex entry
@InProceedings{hoge:isbi08,
author = {Hoge, W. Scott and Gallego, Fernando and Xiao, Zhikui and
Brooks, Dana H.},
title = {{RLS-GRAPPA}: Reconstructing Parallel {MRI} data with
Adaptive Filters},
booktitle = {Proc of 2008 IEEE Intl Symp on Biomedical Imaging
(ISBI08)},
pages = {1537-1540},
year = 2008,
address = {Paris, France},
month = {May}
}
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