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APPLICATIONS AND NEW DEVELOPMENTS OF THE DIRECT EXPONENTIAL CURVE RESOLUTION ALGORITHM (DECRA). EXAMPLES OF SPECTRA AND MAGNETIC RESONANCE IMAGES
BibTeX
@MISC{Windig_applicationsand,
author = {Willem Windig and Brian Antalek and Louis J. Sorriero and Sabina Bijlsma and D. J. Louwerse (ad and Age K. Smilde},
title = {APPLICATIONS AND NEW DEVELOPMENTS OF THE DIRECT EXPONENTIAL CURVE RESOLUTION ALGORITHM (DECRA). EXAMPLES OF SPECTRA AND MAGNETIC RESONANCE IMAGES},
year = {}
}
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Abstract
Recently, a new multivariate analysis tool was developed to resolve mixture data sets, where the contributions (‘concentrations’) have an exponential profile. The new approach is called DECRA (direct exponential curve resolution algorithm). DECRA is based on the generalized rank annihilation method (GRAM). Examples will be given of resolving nuclear magnetic resonance spectra resulting from a diffusion experiment, spectra in the ultraviolet/visible region of a reaction and magnetic resonance images of the human brain. Copyright Ó 1999 John Wiley & Sons, Ltd. KEY WORDS: generalized rank annihilation method (GRAM); nuclear magnetic resonance (NMR); UV-vis; magnetic resonance imaging (MRI); exponential; chemometrics 1.
Keyphrases
direct exponential curve resolution algorithm spectrum magnetic resonance image new development nuclear magnetic resonance mixture data set john wiley son ultraviolet visible region generalized rank annihilation method rank annihilation method nuclear magnetic resonance spectrum key word human brain new approach magnetic resonance image diffusion experiment exponential profile magnetic resonance imaging new multivariate analysis tool
