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Abstract #3329

Compressed Sensing (CS) in phase imaging requires dedicated reconstruction strategies

Ukash Nakarmi 1 , Shruti Prasad 2 , Leslie Ying 1,3 , Paul Polak 2 , Robert Zivadinov 2,4 , and Ferdinand Schweser 2,4

1 Dept. of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY, United States, 2 Buffalo Neuroimaging Analysis Center, Dept of Neurology, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, NY, United States, 3 Dept. of Biomedical Engineering, State University of New York at Buffalo, NY, United States, 4 MRI Molecular and Translational Imaging Center, Buffalo CTRC, State University of New York at Buffalo, Buffalo, NY, United States

Application of conventional Compressive Sensing (CS) paradigm on sparse signal reconstruction for Quantitative Susceptibility Mapping is investigated. Frontiers and limitations of CS reconstruction in undersampled GRE data with long echo times and strong phase, and its corresponding effects on tissue characteristics and microstructures on reconstructed images for QSM is investigated.

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