Samir D. Sharma1, Houchun H. Hu2, Krishna S. Nayak1
1Electrical Engineering, University of Southern California, Los Angeles, CA, United States; 2Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States
Chemical shift-encoded water-fat imaging has recently shown considerable promise as a safe and noninvasive alternative to tissue biopsy for in-vivo liver fat quantitation. However, this technique requires measurements at multiple echo-times; this limits the spatial resolution and/or volume coverage that can be achieved in one breath-held scan. In this work, we present a combined parallel imaging and compressed sensing framework for liver fat quantitation. The proposed approach is compared to an existing parallel imaging and water-fat quantitation method. We demonstrate more accurate liver fat quantitation at 2.5x 1D acceleration using the proposed approach than with the existing method.