Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Using Anisotropic Median-Diffusion
2014 ◽
Vol 2014
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pp. 1-7
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Keyword(s):
Nowadays, positron emission tomography (PET) is widely used in engineering. In this paper, a novel penalized maximum likelihood (PML) algorithm is presented for improving the quality of PET images. The proposed algorithm fuses an anisotropic median-diffusion (AMD) filter to the maximum-likelihood expectation-maximization (MLEM) algorithm. The fusing algorithm shows its positive effect on image reconstruction and denoising. Experimental results present that the proposed method denoises and reconstructs images with high quality. Furthermore, by comparing with other classical reconstructing algorithms, this novel algorithm shows better performance in the edge preservation.
2007 ◽
Vol 54
(5)
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pp. 1648-1659
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1986 ◽
Vol 5
(1)
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pp. 16-22
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2000 ◽
Vol 24
(6)
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pp. 359-376
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1997 ◽
Vol 16
(2)
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pp. 129-136
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1995 ◽
Vol 23
(4)
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pp. 1267-1300
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2012 ◽
Vol 26
(3)
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pp. 447-456
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1993 ◽
Vol 13
(5)
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pp. 733-747
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2006 ◽
Vol 24
(12)
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pp. 1800-1806
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Keyword(s):