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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Main Authors: Koichi Ogawa, Masahiko Sakata, Yu Li
Format: Article
Language:English
Published: Wiley 2012-01-01
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.
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institution Kabale University
issn 1687-4188
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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