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Abstract #2846

Water-Fat Decomposition with MR Data Based Regularized Estimation in MRI

Won Seok Huh1, Jeffrey A. Fessler1

1EE:system, University of Michigan, Ann Arbor, MI, USA

The ability of MRI to separate chemical components is important in clinical use. We describe a new regularized iterative algorithm, termed k-space method, which reconstructs water and fat and field map. The k-space method has been implemented with MR data to consider different data acquisition time. In the method, the cost function includes a regularized term due to prior knowledge that off-resonance is usually smooth. We use iterative approach with field map estimation, and water and fat estimation. By providing readout information to the cost function, the method yields improved estimates of the chemical components.