title: 31P NMR Bayesian spectral analysis of rat brain in vivo.
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.
authors.affiliation: Department of Chemistry, Washington University, St. Louis, Missouri 63130.
authors.forename: G L
authors.initials: GL
authors.lastname: Bretthorst
authors.forename: J J
authors.initials: JJ
authors.lastname: Kotyk
authors.forename: J J
authors.initials: JJ
authors.lastname: Ackerman
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D001921:Brain / Q000033:anatomy & histology*; D005583:Fourier Analysis; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D015233:Models, Statistical; D010758:Phosphorus; D051381:Rats
chemical_list: D010758:Phosphorus