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Found 4 papers, 3 papers with code
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
This claim is based on comparisons on 8 different retrospectively under sampled multi-coil dynamic MRI applications, sampled using either 1D Cartesian or 2D pseudo radial under sampling, at multiple sampling rates.
Prospectively accelerated dynamic speech MRI at 3 Tesla using a self-navigated spiral based manifold regularized scheme
Our scheme provided improved reconstruction over the others.
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
By general, we mean that our algorithm can be used for multiple accelerated dynamic MRI applications and multiple sampling rates (acceleration rates) and patterns with a single choice of parameters (no parameter tuning).
Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI
Through experiments on numerical phantom and in vivo myocardial perfusion MRI datasets, we demonstrate the utility of the proposed DC-CS scheme in providing robust reconstructions with reduced motion artifacts over classical compressed sensing schemes that utilize the compact priors on the original deformation un-corrected signal.
