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Abstract #3056

Joint sodium MR reconstruction and T2* estimation using anatomical regularization

Georg Schramm1, Johan Nuyts1, and Fernando Boada2
1KU Leuven, Leuven, Belgium, 2New York University School of Medicine, New York City, NY, United States

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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