Comparing Gridding &Masking in 3D Parallel Reconstruction

Nicholas Ryan Zwart¹, James Grant Pipe¹

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.