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Abstract #0084

Accelerated Imaging of Metallic Implants Using a Double-Peak-Model Constraint

Xinwei Shi1,2, Evan Levine1,2, Hans Weber1, and Brian A. Hargreaves1,2

1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States

Multi-Spectral Imaging (MSI) enables MRI near metallic implants, but suffers from prolonged scan times. Model-based reconstruction accelerates MSI by enforcing a signal model along the spectral dimension to reduce the number of unknowns in image reconstruction. The previous signal model assumes that spins in one voxel have the same off-resonance frequency, which tends to fail where the off-resonance field changes rapidly. Here we propose a more flexible MSI signal model that allows multiple frequencies within a voxel, and demonstrate improvements with both simulated and in-vivo data. 3x net additional acceleration above partial-Fourier and parallel-imaging alone (20x in total) was achieved.

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