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Table 1 k-space sampling geometry class examples

From: Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometries

% Retained samples 62.5% 48.5% 40.6% 32.8% 28.1% 26.6% 25.0% 21.9% 20.3%
Geometry class          
Dyadic Phase Encoded (DPE)
Random Phase Encoded
Random Samples on a PDF
Spiral Low Pass
  1. This table contains all of the geometric sample masks explored in this study. The columns of the table are sorted by the percentage number of samples. The rows of the table indicate a geometry class. We are interested in comparing the results of geometries across columns, as they can provide insight into the minimum number of samples that can be used that still allow us to obtain an acceptable level of SNR or mean SSIM index.