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Abstract #2891

Comparing Gridding &Masking in 3D Parallel Reconstruction

Nicholas Ryan Zwart1, James Grant Pipe1

1Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States

Parallel image reconstruction methods synthesize data to replace undersampled or non-sampled gaps in k-space. The SENSE parallel imaging algorithm is generalized for the reconstruction of non-cartesian k-space trajectories through the use of a gridding step within each iteration. In an effort to reduce the number of computations, a method of masking k-space was introduced as a replacement for this step. This work compares the two techniques.