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Abstract #2911

A Joint Estimation Method for Two-Point Water/fat Imaging with Regularized Field Map

Diego Hernando1, Peter Kellman2, Zhi-Pei Liang1

1Electrical and Computer Engineering, University of Illinois, Urbana, IL, United States; 2National Institutes of Health, Bethesda, MD, United States

Two-point methods for water/fat imaging are attractive because of their moderate acquisition time. In this work, we adapt a previously proposed joint estimation approach for two-point acquisitions and demonstrate its performance using simulations, phantom results and in vivo data. The proposed method, based on a regularized formulation and a graph cut solution, results in good noise properties and the ability to handle large B0 field inhomogeneities.