Interval-based reconstruction for uncertainty quantification in PET.
Phys Med Biol
; 63(3): 035014, 2018 01 26.
Article
em En
| MEDLINE
| ID: mdl-29192605
ABSTRACT
A new directed interval-based tomographic reconstruction algorithm, called non-additive interval based expectation maximization (NIBEM) is presented. It uses non-additive modeling of the forward operator that provides intervals instead of single-valued projections. The detailed approach is an extension of the maximum likelihood-expectation maximization algorithm based on intervals. The main motivation for this extension is that the resulting intervals have appealing properties for estimating the statistical uncertainty associated with the reconstructed activity values. After reviewing previously published theoretical concepts related to interval-based projectors, this paper describes the NIBEM algorithm and gives examples that highlight the properties and advantages of this interval valued reconstruction.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Tomografia Computadorizada por Raios X
/
Imagens de Fantasmas
/
Tomografia por Emissão de Pósitrons
Limite:
Humans
Idioma:
En
Revista:
Phys Med Biol
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
França