Research Article

Compressed Sensing MRI Reconstruction from Highly Undersampled -Space Data Using Nonsubsampled Shearlet Transform Sparsity Prior

Table 1

Comparison of the objective assessment indices of CS-MRI reconstruction via NSST-based to compared methods using three different sampling patterns with different sampling rates.

MR images and maskIndicesReconstruction methods
Zero-fillingTV-CGODWTSFLCTProposed

T2wBrain_slice_10
using mask_Carteian_040
PSNR28.948633.125232.733734.137136.0823
TEI0.43460.64170.63190.68890.7486
SSIM0.75140.88150.86100.86730.9317
RLNE0.23780.14700.15380.13080.1046

T2wBrain_slice_10
using mask_VDS_2496
PSNR28.651034.084733.988034.945337.4500
TEI0.43850.69350.67220.71550.7830
SSIM0.61660.89330.87140.86860.9485
RLNE0.24610.13160.13310.11920.0894

Water phantom
using mask_VDS_2496
PSNR26.547733.136032.548433.957435.0718
TEI0.59160.68190.66640.69130.6984
SSIM0.61500.61650.80050.82350.8296
RLNE0.09900.04630.04960.04220.0371

Water phantom
using mask_PRS_44_1635
PSNR23.607231.020928.640830.341632.5182
TEI0.35370.64030.60230.66160.6799
SSIM0.52330.63210.70860.75170.8090
RLNE0.13880.05910.07780.06390.0498

Note. mask_Carteian_040 denotes with variable density Cartesian sampling mask in -space with 40% sampling rate, mask_VDS_2496 denotes variable density random sampling mask with 24.96% sampling rate, and mask_PRS_44_1635 denotes pseudoradial 44 lines sampling mask with 16.35% sampling rate.