Abstract #0047

Accelerated Imaging of Metallic Implants Using Model-Based Nonlinear Reconstruction

Xinwei Shi^1,2, Evan G Levine^1,2, and Brian A Hargreaves^1,2

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.

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