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Time and frequency domain analysis of NMR data compared: An application to 1D 1 H spectra of lipoproteins
Author(s) -
van den Boogaart A.,
AlaKorpela M.,
Jokisaari J.,
Griffiths J. R.
Publication year - 1994
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.1910310402
Subject(s) - frequency domain , time domain , nuclear magnetic resonance , free induction decay , fourier transform , signal (programming language) , fast fourier transform , spectral line , chemistry , domain (mathematical analysis) , fourier analysis , spectroscopy , nuclear magnetic resonance spectroscopy , resonance (particle physics) , signal processing , analytical chemistry (journal) , computational physics , biological system , algorithm , physics , mathematics , computer science , mathematical analysis , magnetic resonance imaging , atomic physics , chromatography , digital signal processing , spin echo , computer hardware , biology , quantum mechanics , computer vision , radiology , programming language , medicine , astronomy
A comparison between a time domain analysis algorithm (VARPRO) and a frequency domain analysis algorithm (FITPLA c ) for parameter estimation of magnetic resonance spectroscopy (MRS) data series is presented. VARPRO analyses the measured MRS signal (free induction decay; FID); FITPLA c analyses the discrete Fourier transform of the FID, the frequency domain magnetic resonance spectrum. A rapid time domain method, used to subtract the dominating water resonance from a 1 H MRS FID, without affecting the metabolites of interest, is outlined and applied. Also a new “pseudo‐frequency selective” approach to time domain fitting is introduced. The possibilities of combining the most favorable features of time and frequency domain processing into one single MRS signal processing method are assessed. The 1 H MRS signals of ultracentrifuged very low (VLDL), intermediate (IDL), and high (HDL) density lipoprotein fractions from human blood plasma were used for the comparisons. The results from both algorithms were in good agreement.