Eric C. Wong1
1Radiology and Psychiatry, UC San
Diego, La Jolla, CA, United States
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.