Highly constrained backprojection for time‐resolved MRI

By C. Mistretta, O. Wieben, J. Velikina, W. Block, J. Perry, Yijing Wu, K. Johnson. Magnetic Resonance in Medicine, 2006

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Compressed Sensing MRI (2008, background): “Redundancy can be a known or modeled signal property such as spatial-temporal correlation [8]–[11] or a redundancy learned and extracted from the data itself [12]–[14].”
Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint (2007, methodology): “[2] Similar to projection reconstruction, it is necessary to compensate for the varying sample density of the trajectory which again can be achieved by weighting the data with the ramp filter |k| before performing the convolution.”
Morphology Enabled Dipole Inversion for Quantitative Susceptibility Mapping Using Structural Consistency Between the Magnitude Image and the Susceptibility Map (2011, unknown): “Most susceptibility maps that generate the same field contain the typical undersampling streaking artifacts originating from strong susceptibility sources and noisy voxels, as well understood in CT (Kalender, 2006) and MRI radial sampling (Mistretta et al., 2006).”