Comparison of eight methods for the estimation of the image-derived input function in dynamic [18F]-FDG PET human brain studies

Paolo Zanotti-Fregonara, El Mostafa Fadaili, Renaud Maroy, Claude Comtat, Antoine Souloumiac, Sebastien Jan, Maria Joao Ribeiro, Véronique Gaura, Avner Bar-Hen, Régine Trébossen

Research output: Contribution to journalArticle

53 Scopus citations

Abstract

The aim of this study was to compare eight methods for the estimation of the image-derived input function (IDIF) in [18F]-FDG positron emission tomography (PET) dynamic brain studies. The methods were tested on two digital phantoms and on four healthy volunteers. Image-derived input functions obtained with each method were compared with the reference input functions, that is, the activity in the carotid labels of the phantoms and arterial blood samples for the volunteers, in terms of visual inspection, areas under the curve, cerebral metabolic rates of glucose (CMRglc), and individual rate constants. Blood-sample-free methods provided less reliable results as compared with those obtained using the methods that require the use of blood samples. For some of the blood-sample-free methods, CMRglc estimations considerably improved when the IDIF was calibrated with a single blood sample. Only one of the methods tested in this study, and only in phantom studies, allowed a reliable calculation of the individual rate constants. For the estimation of CMRglc values using an IDIF in [18F]-FDG PET brain studies, a reliable absolute blood-sample-free procedure is not available yet.

Original languageEnglish (US)
Pages (from-to)1825-1835
Number of pages11
JournalJournal of Cerebral Blood Flow and Metabolism
Volume29
Issue number11
DOIs
StatePublished - 2009

Keywords

  • Carotids
  • Input function
  • Positron emission tomography

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

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