Diego Hernando1, Kevin M. Koch2, Kevin F. King2, Zhi-Pei Liang1
1Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 2Applied Science Laboratory, General Electric Healthcare, Waukesha, WI, USA
Several techniques have been recently proposed for imaging near metal implants (i.e., in the presence of extreme B0 field inhomogeneity), by effectively dividing the large spectral range into smaller bins. However, conventional sum-of-squares reconstructions result in localized image intensity distortions in regions of rapid field variation. This abstract presents a novel method for generalized reconstruction of multi-spectral acquisitions, where the reconstruction is posed as a regularized least squares problem. The proposed method overcomes some of the main limitations of current techniques, and provides increased flexibility for the selection of imaging parameters.