Field-corrected imaging for sparsely-sampled fMRI by exploiting low-rank spatiotemporal structure

CONCLUSIONS A field-corrected imaging approach to sparsely-sampled fMRI data has been presented. The method exploits the specific low-rank structure of fMRI data via group sparsity and incorporates field inhomogeneity into iterative image reconstruction. Experimental results demonstrate the ability of the method in obtaining higher-resolution functional images and activation maps with artifact correction due to susceptibility-induced field gradients. (e) (f) Field-corrected imaging for sparsely-sampled fMRI by exploiting low-rank spatiotemporal structure Hien Nguyen and Gary Glover Department of Electronics & Computer Engineering, Hanoi University of Science & Technology, Hanoi, Vietnam, Department of Radiology, Stanford University, California, United States