Benefits and risks of transforming data from dynamic positron emission tomography, with an application to hepatic encephalopathy.
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.
Bass
Ludvik
L
Department of Mathematics, University of Queensland, Brisbane, Australia.
Keiding
Susanne
S
Munk
Ole L
OL
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
D019275:Radiopharmaceuticals