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A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging
Joint Authors
Hamruoni, Kamel
Khlifa, Nawrès
Mbazaa, Imen
Gribaa, Najla
Source
International Journal of Biomedical Imaging
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-03-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Nuclear images are very often used to study the functionality of some organs.
Unfortunately, these images have bad contrast, a weak resolution, and present fluctuations due to the radioactivity disintegration.
To enhance their quality, physicians have to increase the quantity of the injected radioactive material and the acquisition time.
In this paper, we propose an alternative solution.
It consists in a software framework that enhances nuclear image quality and reduces statistical fluctuations.
Since these images are modeled as the realization of a Poisson process, we propose a new framework that performs variance stabilizing of the Poisson process before applying an adapted Bayesian wavelet shrinkage.
The proposed method has been applied on real images, and it has proved its performance.
American Psychological Association (APA)
Khlifa, Nawrès& Gribaa, Najla& Mbazaa, Imen& Hamruoni, Kamel. 2009. A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging. International Journal of Biomedical Imaging،Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-477019
Modern Language Association (MLA)
Khlifa, Nawrès…[et al.]. A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging. International Journal of Biomedical Imaging No. 2009 (2009), pp.1-10.
https://search.emarefa.net/detail/BIM-477019
American Medical Association (AMA)
Khlifa, Nawrès& Gribaa, Najla& Mbazaa, Imen& Hamruoni, Kamel. A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging. International Journal of Biomedical Imaging. 2009. Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-477019
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477019