SYSTEMS AND METHODS FOR ACCELERATING THE ACQUISITION AND RECONSTRUCTION OF MAGNETIC RESONANCE IMAGES WITH RANDOMLY UNDERSAMPLED AND UNIFORMLY UNDERSAMPLED DATA

A method and system of accelerating the acquisition and reconstruction of magnetic resonance images. Magnetic resonance imaging (“MRI”) data is acquired from a plurality of coils using parallel MRI (“pMRI”). The MRI data represents a reduced field-of-view (“FOV”) image for each of a plurality of coils. The MRI data is further undersampled by sequentially applying a compressed sensing (“CS”) technique, such as SparseMRI. The undersampled, reduced FOV images are then reconstructed into a final magnetic resonance image using a pMRI reconstruction technique, such as SENSitivity encoding (“SENSE”). This combination of MR image acquisition, sampling, and reconstruction is referred to as CS-SENSE.