A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging
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 radioac...
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Format: | Article |
Language: | English |
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Wiley
2009-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2009/506120 |
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author | Nawrès Khlifa Najla Gribaa Imen Mbazaa Kamel Hamruoni |
author_facet | Nawrès Khlifa Najla Gribaa Imen Mbazaa Kamel Hamruoni |
author_sort | Nawrès Khlifa |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-a55479e39adc4457be0bf34da62217df |
institution | Kabale University |
issn | 1687-4188 1687-4196 |
language | English |
publishDate | 2009-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Biomedical Imaging |
spelling | doaj-art-a55479e39adc4457be0bf34da62217df2025-02-03T01:32:47ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962009-01-01200910.1155/2009/506120506120A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear ImagingNawrès Khlifa0Najla Gribaa1Imen Mbazaa2Kamel Hamruoni3Research Unit of Signal Processing, Image Processing and Pattern Recognition, National Engineering School of Tunis, 1002 Tunis, TunisiaResearch Unit of Signal Processing, Image Processing and Pattern Recognition, National Engineering School of Tunis, 1002 Tunis, TunisiaResearch Unit of Signal Processing, Image Processing and Pattern Recognition, National Engineering School of Tunis, 1002 Tunis, TunisiaResearch Unit of Signal Processing, Image Processing and Pattern Recognition, National Engineering School of Tunis, 1002 Tunis, TunisiaNuclear 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.http://dx.doi.org/10.1155/2009/506120 |
spellingShingle | Nawrès Khlifa Najla Gribaa Imen Mbazaa Kamel Hamruoni A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging International Journal of Biomedical Imaging |
title | A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging |
title_full | A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging |
title_fullStr | A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging |
title_full_unstemmed | A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging |
title_short | A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging |
title_sort | based bayesian wavelet thresholding method to enhance nuclear imaging |
url | http://dx.doi.org/10.1155/2009/506120 |
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