Blind Deblurring Reconstruction Technique with Applications in PET Imaging

We developed an empirical PET model taking into account system blurring and a blind iterative reconstruction scheme that estimates both the actual image and the point spread function of the system. Reconstruction images of high quality can be acquired by using the proposed reconstruction technique f...

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Main Authors: Heng Li, Osama R. Mawlawi, Ronald X. Zhu, Yibin Zheng
Format: Article
Language:English
Published: Wiley 2009-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2009/718157
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author Heng Li
Osama R. Mawlawi
Ronald X. Zhu
Yibin Zheng
author_facet Heng Li
Osama R. Mawlawi
Ronald X. Zhu
Yibin Zheng
author_sort Heng Li
collection DOAJ
description We developed an empirical PET model taking into account system blurring and a blind iterative reconstruction scheme that estimates both the actual image and the point spread function of the system. Reconstruction images of high quality can be acquired by using the proposed reconstruction technique for both synthetic and experimental data. In the synthetic data study, the algorithm reduces image blurring and preserves the edges without introducing extra artifacts. The localized measurement shows that the performance of the reconstruction image improved by up to 100%. In experimental data studies, the contrast and quality of reconstruction is substantially improved. The proposed method shows promise in tumor localization and quantification.
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institution DOAJ
issn 1687-4188
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language English
publishDate 2009-01-01
publisher Wiley
record_format Article
series International Journal of Biomedical Imaging
spelling doaj-art-c9c0372b8d2c4df9b30f71d12f54c4a02025-08-20T03:23:59ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962009-01-01200910.1155/2009/718157718157Blind Deblurring Reconstruction Technique with Applications in PET ImagingHeng Li0Osama R. Mawlawi1Ronald X. Zhu2Yibin Zheng3Department of Radiation Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USADepartment of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USADepartment of Radiation Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USAGE Healthcare, Waukesha, WI 53188, USAWe developed an empirical PET model taking into account system blurring and a blind iterative reconstruction scheme that estimates both the actual image and the point spread function of the system. Reconstruction images of high quality can be acquired by using the proposed reconstruction technique for both synthetic and experimental data. In the synthetic data study, the algorithm reduces image blurring and preserves the edges without introducing extra artifacts. The localized measurement shows that the performance of the reconstruction image improved by up to 100%. In experimental data studies, the contrast and quality of reconstruction is substantially improved. The proposed method shows promise in tumor localization and quantification.http://dx.doi.org/10.1155/2009/718157
spellingShingle Heng Li
Osama R. Mawlawi
Ronald X. Zhu
Yibin Zheng
Blind Deblurring Reconstruction Technique with Applications in PET Imaging
International Journal of Biomedical Imaging
title Blind Deblurring Reconstruction Technique with Applications in PET Imaging
title_full Blind Deblurring Reconstruction Technique with Applications in PET Imaging
title_fullStr Blind Deblurring Reconstruction Technique with Applications in PET Imaging
title_full_unstemmed Blind Deblurring Reconstruction Technique with Applications in PET Imaging
title_short Blind Deblurring Reconstruction Technique with Applications in PET Imaging
title_sort blind deblurring reconstruction technique with applications in pet imaging
url http://dx.doi.org/10.1155/2009/718157
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AT osamarmawlawi blinddeblurringreconstructiontechniquewithapplicationsinpetimaging
AT ronaldxzhu blinddeblurringreconstructiontechniquewithapplicationsinpetimaging
AT yibinzheng blinddeblurringreconstructiontechniquewithapplicationsinpetimaging