Xinwei Shi1,2, Evan G Levine1,2, and Brian A Hargreaves1,2
1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States
3D Multi-Spectral Imaging (MSI) methods, including SEMAC, MAVRIC, and
MAVRIC-SL, enable MRI near metallic implants by correcting for the
metal-induced off-resonance artifacts, but their widespread application is
limited by prolonged scan time. In this work, we introduce a novel model-based
reconstruction method to accelerate 3D MSI. We demonstrate in phantom and in vivo experiments that the proposed
method can accelerate MAVRIC-SL acquisitions by a factor of 4 when used alone, and
13-17 when combined with parallel imaging and half-Fourier acquisition. The images
reconstructed by the proposed method showed sharper details and lower level of
noise, compared with model-free L1-ESPIRiT.
