The image quality in sodium MR is hampered by very fast T2* decay during readout and high levels of noise in the acquired data. In this work we propose a joint iterative framework, including signal decay modeling during readout and decay estimation, to reconstruct dual echo sodium MR data. Regularization is incorporated by using an anatomical prior based on a high-resolution hydrogen T1 image. In simulations and a real brain tumor data set acquired on a 3T MR we demonstrate that our framework allows to suppress noise while preserving anatomical detail.
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