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Generalized Reconstruction of Multi-Spectral MR Acquisitions for Imaging Near Metal Implants

Introduction MR imaging near metal implants is a challenging problem due to the presence of very large induced B B0B field dispersions (~ 20 kHz). Several techniques have been recently developed, that effectively divide the large spectral range into smaller bins, dramatically reducing B B0 B-related distortions [1,2,3]. The MAVRIC technique [1,2] acquires several 3D datasets using different transmit/receive frequencies (with each dataset covering a narrow spectral band). These datasets are then independently reconstructed, and combined using sum-of-squares (SOS). One of the main limitations of this reconstruction is the presence of residual image intensity distortions in regions of rapid field variation, which can produce both characteristic signal pile-up and intensity attenuation artifacts. In this work, we develop a generalized reconstruction method for multi-spectral acquisitions, where the true image and B B0B field map are directly estimated by solving the corresponding inverse problem. Methods For a 3D acquisition without slab selection gradients, the signal obtained using each transmit/receive frequency 0 RT ν can be modeled as: