Literature DB >> 8661304

NMR spectral quantitation by principal-component analysis. II. Determination of frequency and phase shifts.

T R Brown1, R Stoyanova.   

Abstract

This paper extends the use of principal-component analysis in spectral quantification to the estimation of frequency and phase shifts in a single resonant peak across a series of spectra. The estimated parameters can be used to correct the spectra accordingly, resulting in more accurate peak-area estimation. Further, the removal of the variations in phase and frequency cause by instrumental and experimental fluctuations makes it possible to determine more accurately the remaining variations, which bear biological significance. The procedure is demonstrated on simulated data, a 3D chemical-shift-imaging dataset acquired from a cylinder of inorganic phosphate (Pi), and a set of 736 31P NMR in vivo spectra taken from a kinetic study of rate muscle energetics. In all cases, the procedure rapidly and automatically identifies the frequency and phase shifts present in the individual spectra. In the kinetic study, the procedure is used twice, first to adjust the phase and frequency of a reference peak (phosphocreatine) and then to determine the individual frequencies of the Pi peak in each of the spectra which further can be used for estimation of pH changes during the experiment.

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Year:  1996        PMID: 8661304     DOI: 10.1006/jmrb.1996.0106

Source DB:  PubMed          Journal:  J Magn Reson B        ISSN: 1064-1866


  9 in total

1.  Grid-free interactive and automated data processing for MR chemical shift imaging data.

Authors:  Yann Le Fur; François Nicoli; Maxime Guye; Sylviane Confort-Gouny; Patrick J Cozzone; Frank Kober
Journal:  MAGMA       Date:  2009-11-03       Impact factor: 2.310

2.  Denoising of MR spectroscopic imaging data using statistical selection of principal components.

Authors:  Abas Abdoli; Radka Stoyanova; Andrew A Maudsley
Journal:  MAGMA       Date:  2016-06-03       Impact factor: 2.310

3.  New modes of data partitioning based on PARS peak alignment for improved multivariate biomarker/biopattern detection in 1H-NMR spectroscopic metabolic profiling of urine.

Authors:  R J O Torgrip; J Lindberg; M Linder; B Karlberg; S P Jacobsson; J Kolmert; I Gustafsson; I Schuppe-Koistinen
Journal:  Metabolomics       Date:  2006-04-08       Impact factor: 4.290

4.  Magnetic resonance spectroscopic imaging reconstruction with deformable shape-intensity models.

Authors:  Xiao-Ping Zhu; An-Tao Du; Geon-Ho Jahng; Brian J Soher; Andrew A Maudsley; Michael W Weiner; Norbert Schuff
Journal:  Magn Reson Med       Date:  2003-09       Impact factor: 4.668

5.  Phosphocreatine recovery kinetics following low- and high-intensity exercise in human triceps surae and rat posterior hindlimb muscles.

Authors:  Sean C Forbes; Anthony T Paganini; Jill M Slade; Theodore F Towse; Ronald A Meyer
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-10-22       Impact factor: 3.619

6.  Bioinformatics tools for cancer metabolomics.

Authors:  Grigoriy Blekherman; Reinhard Laubenbacher; Diego F Cortes; Pedro Mendes; Frank M Torti; Steven Akman; Suzy V Torti; Vladimir Shulaev
Journal:  Metabolomics       Date:  2011-01-12       Impact factor: 4.290

7.  Automatic frequency and phase alignment of in vivo J-difference-edited MR spectra by frequency domain correlation.

Authors:  Evita C Wiegers; Bart W J Philips; Arend Heerschap; Marinette van der Graaf
Journal:  MAGMA       Date:  2017-06-01       Impact factor: 2.310

Review 8.  Developments in proton MR spectroscopic imaging of prostate cancer.

Authors:  Angeliki Stamatelatou; Tom W J Scheenen; Arend Heerschap
Journal:  MAGMA       Date:  2022-04-20       Impact factor: 2.533

9.  Characterising phase variations in MALDI-TOF data and correcting them by peak alignment.

Authors:  Simon M Lin; Richard P Haney; Michael J Campa; Michael C Fitzgerald; Edward F Patz
Journal:  Cancer Inform       Date:  2005
  9 in total

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