Median root prior and ordered subsets in Bayesian image reconstruction of single-photon emission tomography.
Eur J Nucl Med
; 25(3): 215-9, 1998 Mar.
Article
em En
| MEDLINE
| ID: mdl-9580852
ABSTRACT
Median root prior allows Bayesian image reconstruction without any a priori knowledge of the final solution. It limits the noise generated by maximum likelihood-expectation maximization, including when the ordered subsets accelerating procedure is used. Therefore the number of iterations can be optimized to obtain the best resolution for cold lesions. Moreover, the higher the number of subsets, the better the contrast, with optimal results for subsets containing between four and eight projections.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Tomografia Computadorizada de Emissão de Fóton Único
/
Teorema de Bayes
Idioma:
En
Revista:
Eur J Nucl Med
Ano de publicação:
1998
Tipo de documento:
Article