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Automated spectral analysis I: Formation of a priori information by spectral simulation
Author(s) -
Young Karl,
Govindaraju Varanavasi,
Soher Brian J.,
Maudsley Andrew A.
Publication year - 1998
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/mrm.1910400605
Subject(s) - a priori and a posteriori , pulse sequence , amplitude , scalar (mathematics) , spectral analysis , computer science , parametric statistics , algorithm , field (mathematics) , nuclear magnetic resonance , statistical physics , physics , mathematics , optics , quantum mechanics , statistics , epistemology , philosophy , geometry , spectroscopy , pure mathematics
A spectral simulation method is described for generating a priori information for use in parametric spectral analysis. The method makes use of GAMMA (S. A. Smith, T. O. Levante, B. H. Meier, R. R. Ernst, J. Magn. Reson., 106A , 75–105, 1994), a programming environment that facilitates simulation of magnetic resonance phenomena. The input parameters consist of the chemical shifts and scalar spin‐coupling constants for the compounds to be analyzed, the acquisition pulse sequence, and the field strength used. The resultant spectral information consists of the relative amplitude, frequency, and phase of all resonances, which are stored in a spectral database. This procedure can be rapidly and conveniently modified to reflect different acquisition parameters and data analysis requirements.