Retrospective Enhancement of Radially Undersampled Cardiac Cine MR Images Using Prior Image Constrained Compressed Sensing (PICCS)

Christopher J. Franois¹, Jie Tang², Guang Hong Chen^1,2

Real-time cardiac cine magnetic resonance (MR) imaging uses k-space undersampling to accelerate image acquisition. This abstract presents a method of enhancing radially undersampled cardiac cine MR images using prior image constrained compressed sensing (PICCS). Undersampled datasets reconstructed using filtered back projection (FBP), compressed sensing (CS), and PICCS were compared. Images reconstructed with PICCS were of much higher quality than those using FBP and CS. PICCS represents a feasible method of generating high-quality cardiac cine MR images using real-time techniques which are important in patients who cannot hold their breath or who have arrhythmias.