31P NMR bayesian spectral analysis of rat brainin vivo
| Autor: | G. L. Bretthorst, Joseph J. H. Ackerman, J. J. Kotyk |
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| Rok vydání: | 1989 |
| Předmět: |
Magnetic Resonance Spectroscopy
Models Statistical Fourier Analysis Quantitative Biology::Neurons and Cognition Estimation theory Chemistry Bayesian probability Phase (waves) Brain Bayes Theorem Phosphorus Rats Quadrature (mathematics) symbols.namesake Bayes' theorem Nuclear magnetic resonance In vivo Fourier analysis symbols Animals Radiology Nuclear Medicine and imaging Time domain |
| Zdroj: | Magnetic Resonance in Medicine. 9:282-287 |
| ISSN: | 1522-2594 0740-3194 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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