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Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction

NeurIPS 2019 · 3D vision › Depth and stereo · approach: Neural light field and illumination imaging · 33 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add geometrically increasing dilation and two-step data consistency (variants CDNwithDC, CDDNwithDC, CDDNwithTDC) (ablation)cascaded dense network · Cardiac MRI, 30% maskPSNR/SSIMHelped
replace one-step data consistency with two-step data consistency (TDC) (ablation)CDDN · Cardiac MRIPSNR/SSIMHelped
add dilated convolution to dense blocks (ablation)cascaded dense network · Cardiac MRIPSNR/SSIMHelped
cascade 10 sub-networks instead of 5CDDN with TDC · Cardiac MRI, 15% maskPSNR (dB): 35.24 -> 35.61Helped
use CDDN with TDC instead of DC-CNNDC-CNN · Cardiac MRI, 15% maskPSNR (dB): 34.87 -> 35.24Helped
use CDDN with TDC instead of RDNRDN · Cardiac MRI, 15% masktrain time (min/epoch): 12.0 -> 3.0Helped

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