Samir D. Sharma1, Caroline Fong2,
Brian Tzung2, Krishna S. Nayak1, Meng Law2
1Department of Electrical Engineering,
University of Southern California, Los Angeles, CA, United States; 2Department
of Radiology, University of Southern California, Los Angeles, CA, United
States
Compressed
Sensing (CS) is a relatively new method for MR image reconstruction from
undersampled k-space data. While other
acceleration techniques, like parallel imaging, are common in clinical
protocols, the role of CS in clinical imaging remains an open question. In this work we perform a double-blind
assessment of CS-MRI image quality by neuroradiologists. Preliminary results suggest the potential
for at least 3x acceleration without significant loss in image quality.