Abstract #4874

Clinical Image Quality Assessment of CS-Reconstructed Brain Images

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.