MyJournals Home  

RSS FeedsEntropy, Vol. 21, Pages 83: Reconstruction of PET Images Using Cross-Entropy and Field of Experts (Entropy)

 
 

19 january 2019 08:00:35

 
Entropy, Vol. 21, Pages 83: Reconstruction of PET Images Using Cross-Entropy and Field of Experts (Entropy)
 


The reconstruction of positron emission tomography data is a difficult task, particularly at low count rates because Poisson noise has a significant influence on the statistical uncertainty of positron emission tomography (PET) measurements. Prior information is frequently used to improve image quality. In this paper, we propose the use of a field of experts to model a priori structure and capture anatomical spatial dependencies of the PET images to address the problems of noise and low count data, which make the reconstruction of the image difficult. We reconstruct PET images by using a modified MXE algorithm, which minimizes a objective function with the cross-entropy as a fidelity term, while the field of expert model is incorporated as a regularizing term. Comparisons with the expectation maximization algorithm and a iterative method with a prior penalizing relative differences showed that the proposed method can lead to accurate estimation of the image, especially with acquisitions at low count rate.


 
76 viewsCategory: Informatics, Physics
 
Entropy, Vol. 21, Pages 84: Desalination Processes` Efficiency and Future Roadmap (Entropy)
Entropy, Vol. 21, Pages 82: Approximating Ground States by Neural Network Quantum States (Entropy)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten