Applications and new developments of the direct exponential curve resolution algorithm (DECRA). Examples of spectra and magnetic resonance images

✍ Scribed by Willem Windig; Brian Antalek; Louis J. Sorriero; Sabina Bijlsma; D. J. Louwerse (AD); Age K. Smilde

• Publisher: John Wiley and Sons
• Year: 1999
• Tongue: English
• Weight: 340 KB
• Volume: 13
• Category: Article
• ISSN: 0886-9383
• DOI: 10.1002/(sici)1099-128x(199903/04)13:2<95::aid-cem530>3.0.co;2-l

✦ Synopsis

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.