LANTERN unrolls an ADMM compressed-sensing model into a convolutional network with DCT and total-variation initialization, and reports higher PSNR/SSIM than k-t SLR and D5C5 for dynamic cardiac MRI using only 100 training volumes.
Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays,
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LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset
LANTERN unrolls an ADMM compressed-sensing model into a convolutional network with DCT and total-variation initialization, and reports higher PSNR/SSIM than k-t SLR and D5C5 for dynamic cardiac MRI using only 100 training volumes.