Abstract #1155

Eigenspace Minimum L1-Norm Beamformer Reconstruction of Functional Magnetic Resonance Inverse Imaging of Visuomotor Processing

Shr-Tai Liou¹, Hsiao-Wen Chung¹, Wei-Tang Chang², Fa-Hsuan Lin^2,3

¹Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; ²Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; ³A. A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, United States

We propose the eigenspace L1-norm beamformer, a new novel technique for ultrafast MR inverse imaging (InI) reconstruction. This method minimizes the amplitude of the beamformer output quantified by the L1-norm of the spatial filter coefficients. We tested this method to reconstruct functional MR InI measurements using a visuomotor task. Results show that the eigenspace L1-norm beamformer can detect BOLD contrast functional activity and provide higher spatial resolution than linear constrained minimum variance (LCMV) beamformer in both motor and visual cortices.