Tsallis entropy-based prior for PET reconstruction / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 455-459, 2013.
Artigo
em Chinês
| WPRIM
| ID: wpr-234631
ABSTRACT
Maximum a Posteriori (MAP) method has been widely applied to the ill-posed problem of image reconstruction. The choice of prior is the crucial point on MAP methods. However, the most conventional priors will lead to a blurring of the whole image or cause ladder-like artifacts. We therefore proposed a Tsallis entropy-based prior for positron emission tomography (PET) iterative reconstruction in MAP framework. The method uses a Tsallis entropy-based prior to eliminate the uncertainty between prior information and the estimated images. We tested this method in the phantom image, compared it with the traditional prior methods. the results showed that the proposed algorithm could suppress noise and obtain better reconstructed image quality.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Artefatos
/
Imagens de Fantasmas
/
Entropia
/
Tomografia por Emissão de Pósitrons
/
Métodos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2013
Tipo de documento:
Artigo
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