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Abstract #1972

Joint Estimation of Spectral Parameters from MR Spectroscopic Imaging Data

Qiang Ning 1 , Chao Ma 2 , and Zhi-Pei Liang 1,2

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

Spectral quantitation is a key problem in MR spectroscopic imaging (MRSI), and a large body of work has been done to develop robust solutions for practical applications. Existing methods have effectively exploited the prior knowledge about the spectral structures of metabolites. However, very limited work has been done to exploit the spatial characteristics of metabolite distributions. As a result, state-of-the-art methods often have large estimation variations. This work addresses this problem by jointly estimating the concentration map of each metabolite, incorporating spatial regularization. Experimental results show that the proposed method significantly improved the estimates of spectral parameters over state-of-the-art methods.

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