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Abstract #2459

Model-Based MR Parameter Mapping with Sparsity Constraint

Bo Zhao1, 2, Fan Lam1, 2, Wenmiao Lu3, Zhi-Pei Liang1, 3

1Department of Eletrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 2Beckman Institute , University of Illinois at Urbana-Champaign, Urbana, IL, United States; 3Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States


A new model-based reconstruction method is presented to directly reconstruct parameter maps from highly undersampled, noisy k-space data. Some representative results of T2 brain mapping are shown to illustrate the performance of the proposed method. It should prove useful for fast MR parameter mapping with sparse sampling.