31P NMR bayesian spectral analysis of rat brain in vivo
- 1 February 1989
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 9 (2) , 282-287
- https://doi.org/10.1002/mrm.1910090214
Abstract
Bayesian spectrum analysis for parameter estimation is a rigorous statistical (non- Fourier-based) method. Herein the Bayesian quadrature NMR model is introduced and applied to analysis of 31P NMR time domain data from in vivo rat brain. Immunity to both the brain spectrum “baseline hump” and the phase twist is demonstrated. © 1989 Academic Press, Inc.This publication has 5 references indexed in Scilit:
- Bayesian analysis of time-domain magnetic resonance signalsJournal of Magnetic Resonance (1969), 1988
- Bayesian Spectrum and Chirp AnalysisPublished by Springer Nature ,1987
- Phosphorus-31 NMR of rat brain in vivo with bloodless perfluorocarbon perfused ratBiochemical and Biophysical Research Communications, 1984
- Selective suppression of the cranial bone resonance from 31P NMR experiments with rat brain in vivoJournal of Magnetic Resonance (1969), 1984
- Mapping of metabolites in whole animals by 31P NMR using surface coilsNature, 1980