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Abstract #4247

Parallel Reconstruction Observing Self Consistency and Temporal Smoothness (PROST)

Mitchell A. Cooper1, 2, Thanh D. Nguyen2, Pascal Spincemaille2, Keigo Kawaji1, 2, Jonathan W. Weinsaft3, Martin R. Prince2, Yi Wang1, 2

1Biomedical Engineering, Cornell University, Ithaca, NY, United States; 2Radiology, Weill Cornell Medical College, New York, United States; 3Cardiology, Weill Cornell Medical College, New York, United States

PROST (Parallel Reconstruction Observing Self consistency and Temporal smoothness) is a SPIRiT based paralell imaging technique implemented by extending the SPIRiT self-consistency kernel to the time domain. PROST is based on the assumption that each temporal phase has small changes with respect to its neighbors (temporal smoothness). PCA is incorporated into PROST to further express the information redundancy in the temporal dimension. PROST improves error performance compared to regular SPIRiT. When used for CINE imaging, PROST gives similar ejection fraction values compared to fully sampled data.