title: Benefits and risks of transforming data from dynamic positron emission tomography, with an application to hepatic encephalopathy.
abstract: Transforming data sets to bring out expected model features can be valuable within limits and misleading outside them. Here we establish such limits for the widely used Gjedde-Patlak representation of dynamic PET data, with an application to hepatic encephalopathy.
authors.affiliation: Department of Mathematics, University of Queensland, Brisbane, Australia.
authors.forename: Ludvik
authors.initials: L
authors.lastname: Bass
authors.forename: Susanne
authors.initials: S
authors.lastname: Keiding
authors.forename: Ole L
authors.initials: OL
authors.lastname: Munk
mesh_terms: D000465:Algorithms; D006501:Hepatic Encephalopathy / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D049268:Positron-Emission Tomography / Q000379:methods*; D019275:Radiopharmaceuticals / Q000097:blood; D018570:Risk Assessment
chemical_list: D019275:Radiopharmaceuticals