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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