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A multiscale approach for analyzing in vivo spectroscopic imaging data
Author(s) -
Zhang Xiaodong,
Heberlein Keith,
Sarkar Shantanu,
Hu Xiaoping
Publication year - 2000
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/(sici)1522-2594(200003)43:3<331::aid-mrm2>3.0.co;2-g
Subject(s) - in vivo , computer science , nuclear magnetic resonance , chemistry , artificial intelligence , physics , biology , microbiology and biotechnology
A multiscale approach for analyzing in vivo magnetic resonance spectroscopic imaging (SI) data is described in this paper. With this method, fitting is performed at multiple spatial scales in a coarse‐to‐fine order. Results obtained at one scale are used as prior knowledge in fitting spectra at the next scale. The multiscale approach was validated with simulated data and demonstrated with proton SI datasets of the human brains. The results showed that this method improved the robustness and efficiency of the fitting and facilitated the automatic analysis of in vivo SI data. Magn Reson Med 43:331–334, 2000. © 2000 Wiley‐Liss, Inc.