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[Tsallis entropy-based prior for PET reconstruction].

[Article in Chinese]

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  • 1School of Biomedical Engineering, Southern Medical University , Guangzhou 510515, China.

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.

PMID:
23865299
[PubMed - indexed for MEDLINE]
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