Compressed Sensing for Cardiac MRI Cine Sequences: A Real Implementation on a Small-Animal Scanner
Over the lasts years many works have addressed the potential of compressed sensing techniques to accelerate acquisition of cardiac MRI. However, most of these works claimed the achievement of acceleration factors solely based on simulated data or on fully sampled acquisition data retrospectively undersampled. In this work the practical feasibility of compressed sensing acquisitions for the acceleration of cardiac cine imaging in small animals is proved with real acquisitions. Our experiments using a combined spatiotemporal technique confirm that high acceleration factors of about 10 are feasible. Future work involving the optimization of undersampling patterns and cardiac artifact correction might further improve this acceleration factor.
KeywordsCompressed sensing undersampling pattern data acquisition Split Bregman cardiac cine MRI
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