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.