1992
DOI: 10.1016/0022-2364(92)90003-p
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Comparison of Fourier and Bayesian analysis of nmr signals. I. Well-separated resonances (the single-frequency case)

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Cited by 17 publications
(12 citation statements)
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“…In agreement with prior reports (Kolattukudy, 1980,1981), w e observe a lag period o f 2 t o 4 d before (Bretthorst et al, 1989;Kotyk et al, 1992) of the CPMAS "C NMR spectra of Figure 3. Reported values are intensities relative to that of the 72-ppm polysaccharide resonance, which i s normalized to 1.00 for each mectrum.…”
Section: Discussionsupporting
confidence: 91%
“…In agreement with prior reports (Kolattukudy, 1980,1981), w e observe a lag period o f 2 t o 4 d before (Bretthorst et al, 1989;Kotyk et al, 1992) of the CPMAS "C NMR spectra of Figure 3. Reported values are intensities relative to that of the 72-ppm polysaccharide resonance, which i s normalized to 1.00 for each mectrum.…”
Section: Discussionsupporting
confidence: 91%
“…Respiratory-gated LASER spectra were collected with echo time Ï­ 39 ms; recycle time Ï­ Ïł1 s (the exact value of recycle time depends on respiratory rate, and thus varies slightly from animal to animal); sweep width Ï­ 7,812 Hz; acquisition time Ï­ 262 ms; number of data points Ï­ 4,096. Amplitudes of water and lipid signals were measured using Bayesian Probability Theory methods (38,39) and were corrected for differences in T1 and T2 values for water and lipid, as described previously (25).…”
Section: Methodsmentioning
confidence: 99%
“…Figure 2 (top) displays the resonances found in this expanded aliphatic proton region using BPT, demonstrating BPT's ability to accurately model these data. BPT can accurately quantitate low-level signals, even in the presence of baseline distortions (40)(41)(42). As a consequence, we confidently included all of the aliphatic proton signals, and not just the methylene peak, in determining the lipid content of the liver.…”
Section: Downloaded Frommentioning
confidence: 99%
“…Bayesian probability theory (BPT) methods have been described for the analysis of magnetic resonance data (40)(41)(42). For spectral analysis, BPT allows modeling of the experimental data and extraction of the relevant spectral parameters.…”
Section: Bayesian Probability Theory Analysismentioning
confidence: 99%