✦ LIBER ✦

Evaluation of Signal Processing Methods for the Quantification of Strongly Overlapping Peaks in 31P NMR Spectra

✍ Scribed by C. Decanniere; P. Vanhecke; F. Vanstapel; H. Chen; S. Vanhuffel; C. Vandervoort; B. Vantongeren; D. Vanormondt

Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 523 KB
Volume: 105
Category: Article
ISSN: 1064-1866
DOI: 10.1006/jmrb.1994.1096

No coin nor oath required. For personal study only.

✦ Synopsis

A time series of (16{ }^{31} \mathrm{P}) NMR spectra of rat liver perfused with 2,5-anhydro-D-mannitol has been quantitatively analyzed by two types of model function fitting algorithms in the time domain: an iterative least-squares fitting procedure (VARPRO) and a noniterative singular-value-decomposition-based method, combined with minimum-variance preprocessing (MV-HTLS). MVHTLS, which does not allow the incorporation of prior knowledge, is unreliable for the quantification of overlapping peaks at low signal-to-noise ratio. Although the overall fit is good, i.e., the residue is small, the fitted parameters do not accurately represent the individual components. The incorporation of prior knowledge about the model parameters results in a significant gain in precision of VARPRO. G: 1994 Academic Press, Inc.

📜 SIMILAR VOLUMES

Evaluation of signal processing methods

Evaluation of signal processing methods for the quantification of a multi–exponential signal: the glycogen 13C-1 NMR signal

✍ K. Overloop; P. Van Hecke; F. Vanstapel; H. Chen; S. Van Huffel; A. Knijn; D. va 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 786 KB

The "C-l NMR peak in proton-decoupled spectra of liver glycogen solution was quantitatively analyzed by three types of model-function fitting algorithms: iterative line-fitting in the frequency domain (MDCON); iterative least-squares fitting (VARF'RO) in the time domain; and noniterative singular va

Accurate quantification of in vivo31P NM

Accurate quantification of in vivo31P NMR signals using the variable projection method and prior knowledge

✍ J. W. C. van der Veen; R. de Beer; P. R. Luyten; D. van Ormondt 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 416 KB

Free induction decay signals are analyzed by fitting a model function directly in the time domain. No starting values are needed for linear model parameters, and omission of corrupted data points poses no problems. A significant gain of accuracy is achieved by imposing prior knowledge about the mode

Improved quantification of in vivo1H NMR

Improved quantification of in vivo1H NMR spectra by optimization of signal acquisition and processing and by incorporation of prior knowledge into the spectral fitting

✍ A. A. De Graaf; W. M. M. J. Bovée 📂 Article 📅 1990 🏛 John Wiley and Sons 🌐 English ⚖ 851 KB

## Abstract Quantification of localized __in vivo__ brain ^1^H spectra is in general very difficult due to excessive spectral overlap. In addition, intensity distortions may result from the effects of the NMR pulse sequence on the spins. This paper describes an approach to solving these problems. I

Concurrent quantification of tissue meta

Concurrent quantification of tissue metabolism and blood flow via 2h/31P NMR in Vivo. 11. validation of the deuterium nmr washout method for measuring organ perfusion

✍ Jeffrey J. Neil; Sheng-kwei Song; Joseph J. H. Ackerman 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 710 KB

## Abstract The deuterium washout technique of measuring tissue blood flow is based upon NMR detection of HOD (administered as D~2~O saline, but typically detected as HOD because of rapid proton‐deuteron exchange) as a freely diffusible tracer. Though this method is coming into more general use, it