Motivation: To Study Cardiac Cine FIESTA with high acceleration factors and Deep learning reconstruction at 0.5T
Goal(s): Functional assessment of ventricles using highly accelerated cine fiesta acquired in 3 Heart beats at 0.5T field strength.
Approach: DLCine uses a variable density sampling scheme and deep learning reconstruction algorithm to accelerate FIESTA Cine scans. This data was compared to the conventional cine fiesta accelerated by parallel imaging.
Results: We observed DL cine method has 2.4 times higher SNR compared to the conventional acceleration method such as parallel imaging and scan time is reduced by 70%
Impact: Acquisition of cardiac short axis scan in 3 heart beats using DL Cine for ventricular functional assessment at 0.5T
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