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ISBI
2008
IEEE

RLS-grappa: Reconstructing parallel MRI data with adaptive filters

14 years 4 months ago
RLS-grappa: Reconstructing parallel MRI data with adaptive filters
GRAPPA 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.
William Scott Hoge, Fernando Gallego, Zhikui Xiao,
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2008
Where ISBI
Authors William Scott Hoge, Fernando Gallego, Zhikui Xiao, Dana H. Brooks
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