scholarly journals Three-dimensional photon counting integral imaging reconstruction using penalized maximum likelihood expectation maximization

2011 ◽  
Vol 19 (20) ◽  
pp. 19681 ◽  
Author(s):  
Doron Aloni ◽  
Adrian Stern ◽  
Bahram Javidi
Keyword(s):  
Maximum Likelihood ◽  
Expectation Maximization ◽  
Photon Counting ◽  
Three Dimensional ◽  
Integral Imaging ◽  
Penalized Maximum Likelihood ◽  
Imaging Reconstruction ◽  
Maximum Likelihood Expectation Maximization

scholarly journals Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Using Anisotropic Median-Diffusion

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Qian He ◽  
Lihong Huang
Keyword(s):  
Positron Emission Tomography ◽  
Maximum Likelihood ◽  
Expectation Maximization ◽  
Emission Tomography ◽  
Edge Preservation ◽  
Penalized Maximum Likelihood ◽  
Positron Emission ◽  
Maximum Likelihood Expectation Maximization ◽  
Positive Effect

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.

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