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Abstract #1202

Accelerated J-Resolved MRSI Using Joint Subspace and Sparsity Constraints

Fan Lam1, Bowen Cheng2, and Zhi-Pei Liang1,2

1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

A new reconstruction method for accelerated J-resolved MRSI acquisitions is proposed. The proposed method performs a joint reconstruction from the data acquired with multiple echo times (TEs), using a formulation that integrates a subspace representation of the entire J-resolved spatiospectral function and a joint sparsity constraint exploiting the correlation across different TEs. Both simulation and in vivo experiments have been performed to evaluate the proposed method, demonstrating its superior performance over methods using joint sparsity or subspace constraint alone.

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