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Abstract #0383

Highly-Accelerated First-Pass Cardiac Perfusion MRI Using Compressed Sensing and Parallel Imaging

Ricardo Otazo1, Daniel Kim1, Daniel K. Sodickson1

1Center for Biomedical Imaging, NYU School of Medicine, New York, NY, USA

Compressed sensing and parallel imaging are combined into a single joint reconstruction paradigm named k-t Parallel-Sparse for highly accelerated first pass cardiac perfusion imaging. The method exploits the joint sparsity in the sensitivity-encoded images to achieve higher accelerations than for coil-by-coil sparsity alone, and it does not require dynamic training data. We demonstrate the feasibility of high in vivo acceleration factors of 8 and 12 and assess the effect of respiratory motion.