PET is a functional nuclear medicine imaging technique widely used to study in vivo physiological processes in the body, which are targeted by an appropriate tracer, as those used in this study: [11C](R)-rolipram, [11C]WAY100635, [11C]PBR28. The purpose of this work is to evaluate, at the voxel level, the performance of a Bayesian method never used before in PET domain: the Variationa Bayes method. In this study analysis on both simulated and real data are presented. VB is compared with WNLLS
Variational Bayesian inference for quantification of brain PET data at the voxel level
Zanoni, Simone
2015/2016
Abstract
PET is a functional nuclear medicine imaging technique widely used to study in vivo physiological processes in the body, which are targeted by an appropriate tracer, as those used in this study: [11C](R)-rolipram, [11C]WAY100635, [11C]PBR28. The purpose of this work is to evaluate, at the voxel level, the performance of a Bayesian method never used before in PET domain: the Variationa Bayes method. In this study analysis on both simulated and real data are presented. VB is compared with WNLLSFile in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/19375