title: Model-free quantification of dynamic PET data using nonparametric deconvolution.
abstract: Dynamic positron emission tomography (PET) data are usually quantified using compartment models (CMs) or derived graphical approaches. Often, however, CMs either do not properly describe the tracer kinetics, or are not identifiable, leading to nonphysiologic estimates of the tracer binding. The PET data are modeled as the convolution of the metabolite-corrected input function and the tracer impulse response function (IRF) in the tissue. Using nonparametric deconvolution methods, it is possible to obtain model-free estimates of the IRF, from which functionals related to tracer volume of distribution and binding may be computed, but this approach has rarely been applied in PET. Here, we apply nonparametric deconvolution using singular value decomposition to simulated and test-retest clinical PET data with four reversible tracers well characterized by CMs ([(11)C]CUMI-101, [(11)C]DASB, [(11)C]PE2I, and [(11)C]WAY-100635), and systematically compare reproducibility, reliability, and identifiability of various IRF-derived functionals with that of traditional CMs outcomes. Results show that nonparametric deconvolution, completely free of any model assumptions, allows for estimates of tracer volume of distribution and binding that are very close to the estimates obtained with CMs and, in some cases, show better test-retest performance than CMs outcomes.
authors: Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Columbia University, New York, New York, USA.
authors: Francesca
authors: F
authors: Zanderigo
authors: Department of Psychiatry and Radiology, Stony Brook University, Stony Brook, New York, USA.
authors: Ramin V
authors: RV
authors: Parsey
authors: 1] Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, New York, USA [2] Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, New York, USA [3] Department of Biostatistics, Columbia University, Mailman School of Public Health, New York, New York, USA.
authors: R Todd
authors: RT
authors: Ogden
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted; D008962:Models, Theoretical; D049268:Positron-Emission Tomography; D019275:Radiopharmaceuticals / Q000493:pharmacokinetics*
chemical_list: D019275:Radiopharmaceuticals