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Abstract #2218

Sparse Source Cluster Reconstruction by Compressed Magnetic Resonance Inverse Imaging

Wei-Tang Chang1, 2, Jyrki Ahveninen1, Fa-Hsuan Lin1, 2

1Martinos center for biomedical imaging, Massachusetts general hospital, Charlestown, MA, United States; 2Biomedical engineering, National Taiwan University, Taipei, Taiwan

Sparse source cluster reconstruction by compressed magnetic resonance inverse imaging

Keywords

accommodate achieve achieved acquisition activation activity adaptively addition adequately alone anterior applied array axis bandwidth besides better biomedical blocks blue bold brain channel checkerboard chosen coefficients coil collected compressible considering consistent constrained constraint contaminating contrary controlled coronal cortex cost covering curves denotes dependency described determined develop diffuse discrepancy disperse distribution domain efficiency either empirical encoding engineering estimation event exciting experiment favors feasibility flashing focal forward function functional generalizes highlight hypothesis integration interval inverse journal linear localization maps mathematically matrix measured measures medical minimization minimizes minimizing minutes modeled national natl neural noise norm operator outperforms oxygen paradigm parallel participants patterns period physics planar post posterior presume projection promote propose quantified quantitative readout reasonably reconstructed reconstruction reduce reliable removed representation resolution response runs selected series simulated simulation slab slice solid solution solutions source sources space sparse sparsity spatial spatially stimuli stimulus suitable system thick toward transformation transformed trials trio validate vector visual wavelet