✦ LIBER ✦

Full Automation of Quantitation of in Vivo NMR by LPSVD(CR) and EPLPSVD

✍ Scribed by A. Diop; W. Kolbel; D. Michel; A. Briguet; D. Graverondemilly

Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 291 KB
Volume: 103
Category: Article
ISSN: 1064-1866
DOI: 10.1006/jmrb.1994.1033

No coin nor oath required. For personal study only.

✦ Synopsis

A full automatic and reliable method for NMR quantification is proposed. It is based on the linear prediction singular-value decomposition with continuous regularization [LPSVD(CR)] and on the enhancement procedure (EP) followed by LPSVD (EPLPSVD). Advantages of both methods have been considered. LPSVD(CR) has been used to find a good estimate for the number of spectral components. A signific?nce test allows refining this number, which is then used in the EPLPSVD method. A Monte Carlo study has proved that EPLPSVD is a maximum-likelihood estimator. This new algorithm leads to reliable estimates for the spectral parameters even for signals with a low signal-to-noise ratio. No a priori knowledge is needed. c 1994 Academic Press. Inc.

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