Bo Zhao1, 2, Wenmiao Lu2, Zhi-Pei Liang1, 2
1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 2Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
A new reconstruction method is proposed for accelerating parametric mapping using partial separability and sparsity constraints jointly. The joint use of the two constraints yields parameter maps with higher spatial resolution and SNR than several state-of-the-art methods.
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