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Prony methods in NMR spectroscopy
Author(s) -
Viti Vincenza,
Petrucci Caterina,
Barone Piero
Publication year - 1997
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/(sici)1098-1098(1997)8:6<565::aid-ima9>3.0.co;2-8
Subject(s) - nuclear magnetic resonance , fourier transform , reliability (semiconductor) , computer science , nuclear magnetic resonance spectroscopy , algorithm , signal (programming language) , signal to noise ratio (imaging) , fast fourier transform , spectroscopy , noise (video) , biological system , analytical chemistry (journal) , physics , chemistry , mathematics , artificial intelligence , chromatography , mathematical analysis , telecommunications , power (physics) , quantum mechanics , image (mathematics) , biology , programming language
The Prony method and a modified Prony method (MPM), developed to improve the performance of this technique at low signal‐to‐noise ratio, are described and applied to analysis of magnetic resonance spectroscopy (MRS) signals. Furthermore, the way in which results from MPM can be used as prior information in a Bayesian model is also described. First, analysis on simulated data is used to establish the methods' limits of reliability. Their performance with respect to peak identification and quantification of nuclear magnetic resonance parameters are then assayed on real data. Results of application of the methods to 1 H‐MRS signals from cultured cells are discussed and compared with those deriving from application of fast Fourier transform. © 1997 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 8, 565–571, 1997