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Abstract #0080

Reconstruction for Dynamic 2D-Radial Cardiac MRI Using Prior Enhanced Compressed Sensing

Ti-chiun Chang1, Mariappan S. Nadar1, Jens Guehring2, Michael O. Zenge2, Kai T. Block3, Peter Speier2, Michael S. Hansen4, Edgar Mueller2

1Siemens Corporate Research, Princeton, NJ, United States; 2Siemens AG, Erlangen, Germany; 3NYU Langone Medical Center, New York, NY, United States; 4National Institutes of Health, Bethesda, MD, United States

 

Keywords

account accounts accurately achieved additional adjoint adopted aliasing another applications artifact artifacts assumption balance basic better cardiac care caused challenge choosing coil combining composite compressed concatenated concept consistently constraint construct corporate cropped denoted denotes detail devoted dimension direct distinguishing domain dynamic either element emerges enables encoding enhanced example expense exploited fast fidelity field formulation fortunately forward frame free generally good hand heart help illustrate imperfections improved included includes incorporating indicates inspired instance interleaved interleaves introducing knowledge making many matrix motion multiplier nearly noise operation overlapping oversampled particular patterns peter physiological please plots practice preservation prince prior profiles projections quality radial realized reconstruct reconstructed reconstruction reduce reduced reduces reduction redundant refer regularization relatively relies resolution respectively revised robustness rotated rotating sampled samples sense sensing sensitivity severe shrink solver space sparser sparsity spatial spoke streaking strength suitable suppression take target temporal term terms theory trajectory transform unconstrained variance varying version wavelet whose wise