Abstract #2451
Comparison of Pre-reconstruction Interpolation Methods for Rapid Compressed Sensing Reconstruction of Non-Cartesian k -Space
KC Erb 1 , Ganesh Adluru 1 , Srikant Kamesh Iyer 1 , Devavrat Likhite 1 , John A Roberts 1 , and Edward DiBella 1
1
UCAIR, University of Utah, Salt Lake City,
Utah, United States
Pre-reconstruction cartesian-interpolation (gridding)
algorithms are used to interpolate non-cartesian data
onto a cartesian grid for simple cartesian
reconstruction. In this work, we compare 3 such
interpolation methods to the Non-Uniform Fast Fourier
Transform (NUFFT). Two of the methods are simple
single-coil interpolators (nearest neighbor and 3-point
interpolation) and the other is a newer multi-coil
method called GRAPPA Operator Regridding (GROG). We
demonstrate that GROG is able to produce images which
are quantitatively more similar to NUFFT reconstructed
images than the other single-coil methods. We also
demonstrate that GROG continues to outperform the other
methods, even on highly undersampled datasets.
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