Adaptive Noise Reduction of Scintigrams with a Wavelet Transform
The aim of this study was to eliminate the effect of Poisson noise in scintigrams with a wavelet thresholding method. We developed a new noise reduction method with a wavelet transform. The proposed method was a combination of the translation-invariant denoising method and our newly introduced denoi...
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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2012/130482 |
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author | Koichi Ogawa Masahiko Sakata Yu Li |
author_facet | Koichi Ogawa Masahiko Sakata Yu Li |
author_sort | Koichi Ogawa |
collection | DOAJ |
description | The aim of this study was to eliminate the effect of Poisson noise in scintigrams with a wavelet thresholding method. We developed a new noise reduction method with a wavelet transform. The proposed method was a combination of the translation-invariant denoising method and our newly introduced denoising filter which was applicable for Poisson noise. To evaluate the validity of our proposed method, phantom images and scintigrams were used. The results with the phantom images showed that our method was better than conventional methods in terms of the peak signal-to-noise ratio by 3 dB. Quality of the scintigrams processed with our method was better than that with the conventional methods in terms of reducing Poisson noise while preserving edge components. The results demonstrated that the proposed method was effective for the reduction of Poisson noise in scintigrams. |
format | Article |
id | doaj-art-b1e00dae554c4879a85b4351bb1e58f2 |
institution | Kabale University |
issn | 1687-4188 1687-4196 |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Biomedical Imaging |
spelling | doaj-art-b1e00dae554c4879a85b4351bb1e58f22025-02-03T06:11:28ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962012-01-01201210.1155/2012/130482130482Adaptive Noise Reduction of Scintigrams with a Wavelet TransformKoichi Ogawa0Masahiko Sakata1Yu Li2Department of Applied Informatics, Faculty of Science and Engineering, Hosei University, Tokyo 184-8584, JapanDepartment of Applied Informatics, Faculty of Science and Engineering, Hosei University, Tokyo 184-8584, JapanDepartment of Applied Informatics, Faculty of Science and Engineering, Hosei University, Tokyo 184-8584, JapanThe aim of this study was to eliminate the effect of Poisson noise in scintigrams with a wavelet thresholding method. We developed a new noise reduction method with a wavelet transform. The proposed method was a combination of the translation-invariant denoising method and our newly introduced denoising filter which was applicable for Poisson noise. To evaluate the validity of our proposed method, phantom images and scintigrams were used. The results with the phantom images showed that our method was better than conventional methods in terms of the peak signal-to-noise ratio by 3 dB. Quality of the scintigrams processed with our method was better than that with the conventional methods in terms of reducing Poisson noise while preserving edge components. The results demonstrated that the proposed method was effective for the reduction of Poisson noise in scintigrams.http://dx.doi.org/10.1155/2012/130482 |
spellingShingle | Koichi Ogawa Masahiko Sakata Yu Li Adaptive Noise Reduction of Scintigrams with a Wavelet Transform International Journal of Biomedical Imaging |
title | Adaptive Noise Reduction of Scintigrams with a Wavelet Transform |
title_full | Adaptive Noise Reduction of Scintigrams with a Wavelet Transform |
title_fullStr | Adaptive Noise Reduction of Scintigrams with a Wavelet Transform |
title_full_unstemmed | Adaptive Noise Reduction of Scintigrams with a Wavelet Transform |
title_short | Adaptive Noise Reduction of Scintigrams with a Wavelet Transform |
title_sort | adaptive noise reduction of scintigrams with a wavelet transform |
url | http://dx.doi.org/10.1155/2012/130482 |
work_keys_str_mv | AT koichiogawa adaptivenoisereductionofscintigramswithawavelettransform AT masahikosakata adaptivenoisereductionofscintigramswithawavelettransform AT yuli adaptivenoisereductionofscintigramswithawavelettransform |