78 citations · 302 across the 22 of their papers we have counts for
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General Phase Regularized Reconstruction using Phase Cycling
Frank Ong, Joseph Cheng, Michael Lustig
Purpose: To develop a general phase regularized image reconstruction method, with applications to partial Fourier imaging, water-fat imaging and flow imaging. Theory and Methods: T…
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting
Patrick Virtue, Stella X. Yu, Michael Lustig
The task of MRI fingerprinting is to identify tissue parameters from complex-valued MRI signals. The prevalent approach is dictionary based, where a test MRI signal is compared to…
Multiple-coil k-space interpolation enhances resolution in single-shot spatiotemporal MRI
Gilad Liberman, Eddy Solomon, Michael Lustig +1
Purpose: Spatio-temporal encoding (SPEN) experiments can deliver single-scan MR images without folding complications and with robustness to chemical shift and susceptibility artifa…