title: Experimental design optimisation: theory and application to estimation of receptor model parameters using dynamic positron emission tomography.
abstract: The general framework and various criteria for experimental design optimisation are presented. The methodology is applied to the estimation of receptor-ligand reaction model parameters with dynamic positron emission tomography data. The possibility of improving parameter estimation using a new experimental design combining an injection of the beta+-labelled ligand and an injection of the cold ligand is investigated. Numerical simulations predict a remarkable improvement in the accuracy of the parameter estimates with this new experimental design and particularly the possibility of separate estimations of the association constant (k+1) and of the receptor density (B'max) in a single experiment. Simulation predictions are validated using experimental PET data in which parameter uncertainties are reduced by factors ranging from 17 to 1000.
authors.affiliation: Département de Biologie, Hôpital d'Orsay, France.
authors.forename: J
authors.initials: J
authors.lastname: Delforge
authors.forename: A
authors.initials: A
authors.lastname: Syrota
authors.forename: B M
authors.initials: BM
authors.lastname: Mazoyer
mesh_terms: D003198:Computer Simulation; D008024:Ligands / Q000378:metabolism; D008954:Models, Biological; D011956:Receptors, Cell Surface / Q000378:metabolism*; D012107:Research Design; D014055:Tomography, Emission-Computed
chemical_list: D008024:Ligands; D011956:Receptors, Cell Surface