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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