Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Using Anisotropic Median-Diffusion
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
He, Qian& Huang, Lihong. 2014. Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Using Anisotropic Median-Diffusion. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-475838
Modern Language Association (MLA)
He, Qian& Huang, Lihong. Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Using Anisotropic Median-Diffusion. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-475838
American Medical Association (AMA)
He, Qian& Huang, Lihong. Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Using Anisotropic Median-Diffusion. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-475838
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475838