Plasma radiometabolite correction in dynamic PET studies: Insights on the available modeling approaches

Matteo Tonietto, Gaia Rizzo, Mattia Veronese, Masahiro Fujita, Sami S. Zoghbi, Paolo Zanotti-Fregonara, Alessandra Bertoldo

Research output: Contribution to journalReview article

21 Scopus citations

Abstract

Full kinetic modeling of dynamic PET images requires the measurement of radioligand concentrations in the arterial plasma. The unchanged parent radioligand must, however, be separated from its radiometabolites by chromatographic methods. Thus, only few samples can usually be analyzed and the resulting measurements are often noisy. Therefore, the measurements must be fitted with a mathematical model. This work presents a comprehensive analysis of the different models proposed in the literature to describe the plasma parent fraction (PPf) and of the alternative approaches for radiometabolite correction. Finally, we used a dataset of [ 11 C]PBR28 brain PET data as a case study to guide the reader through the PPf model selection process.

Original languageEnglish (US)
Pages (from-to)326-339
Number of pages14
JournalJournal of Cerebral Blood Flow and Metabolism
Volume36
Issue number2
DOIs
StatePublished - Feb 1 2016

Keywords

  • PET
  • PPf modeling
  • plasma parent fraction
  • radiometabolite correction

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

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