Tsallis entropy-based prior for PET reconstruction / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 455-459, 2013.
Article
in Chinese
| 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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Artifacts
/
Phantoms, Imaging
/
Entropy
/
Positron-Emission Tomography
/
Methods
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2013
Type:
Article
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