Quantitative SPM Analysis Involving an Adaptive Template May Be Easily Applied to [(18)F]FDG PET Images of the Rat Brain.
Fiche publication
Date publication
janvier 2017
Journal
Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging
Auteurs
Membres identifiés du Cancéropôle Est :
Pr KARCHER Gilles, Pr MARIE Pierre-Yves, Pr VERGER Antoine
Tous les auteurs :
Poussier S, Maskali F, Vexiau G, Verger A, Boutley H, Karcher G, Raffo E, Marie PY
Lien Pubmed
Résumé
The Statistical Parametric Mapping (SPM) software is frequently used for the quantitative analysis of patients' brain images obtained from 2-deoxy-2-[(18)F]fluoro-D-glucose positron emission tomography ([(18)F]FDG PET). However, its adaptation to small animals is difficult, particularly for the initial step of spatial normalization which requires a specific brain anatomical template. This study was aimed at determining whether SPM analysis can be applied to rat, and more specifically to the lithium-pilocarpine model of epilepsy, by using an adaptive template. This template developed for PET clinical imaging is constructed from a block matching algorithm.
Référence
Mol Imaging Biol. 2017 Jan;: