Efficient Randomly Encoded Data Acquisition for Compressed Sensing

Eric C. Wong¹

Compressed sensing (CS) allows for efficient extraction of information from MR data, and benefits from incoherent sampling. We propose here an imaging strategy that simultaneously produces high steady state signal, high A/D duty cycle, and pseudo-random sampling functions, and is therefore both SNR efficient and amenable to CS reconstruction. The method uses rapid low flip angle pulses of random phase, along with a rosette gradient trajectory to produce an array of coherence pathways. Simulated data and reconstruction demonstrate simultaneous estimation of proton density, T2, and field maps from under-sampled data.