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

Ricardo Otazo¹, Daniel Kim¹, Daniel K. Sodickson¹

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.