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Abstract #4594

Reconstruction of Magnetic Resonance Inverse Imaging Using the Minimum L-1 Norm Constraint

Fa-Hsuan Lin1,2, Thomas Witzel1, Jonanthan Polimeni1, John W. Belliveau1

1A. A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA; 2Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan

Magnetic resonance inverse imaging (InI) can obtain an unprecedented temporal resolution by using a minimal gradient encoding and solving inverse problems from multiple channels of the coil array measurements. To reconstruct InI data, additional constraint must be supplied to obtain a unique solution. Here we used the minimum L-1 norm constraint to reconstruction InI fMRI data. Compared to the minimum L-2 norm results, the minimum L-1 norm reconstructions are more spatially focal and have higher sensitivity in detecting the activity of human visual system.