Combination of Compressed Sensing & Parallel Imaging with Respiratory Motion Correction for Highly-Accelerated First-Pass Cardiac Perfusion MRI

Ricardo Otazo¹, Daniel Kim¹, Leon Axel¹, Daniel K. Sodickson¹

First-pass cardiac perfusion MRI studies can be highly accelerated using a combination of compressed sensing and parallel imaging. However, this method is sensitive to respiratory motion, which decreases sparsity in the combined spatial and temporal-frequency domain and produces temporal blurring in the reconstructed images. In this work, we present a rigid respiratory motion correction method for the combination of compressed sensing and parallel imaging, to highly accelerate first-pass cardiac perfusion MRI without the need of strict breath-holding.