Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method

Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method

Bioluminescence tomography (BLT) has a great potential to provide a powerful tool for tumor detection, monitoring tumor therapy progress, and drug development; developing new reconstruction algorithms will advance the technique to practical applications. In the paper, we propose a BLT reconstruction...

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Main Authors: Wu, Qiang, Feng, Jinchao, Jia, Kebin, Wang, Xiangyu
Format: Online
Language:English
Published: Hindawi Publishing Corporation 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3564267/
id pubmed-3564267
recordtype oai_dc
spelling pubmed-35642672013-02-11 Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method Wu, Qiang Feng, Jinchao Jia, Kebin Wang, Xiangyu Research Article Bioluminescence tomography (BLT) has a great potential to provide a powerful tool for tumor detection, monitoring tumor therapy progress, and drug development; developing new reconstruction algorithms will advance the technique to practical applications. In the paper, we propose a BLT reconstruction algorithm by combining SP3 equations and Bregman iteration method to improve the quality of reconstructed sources. The numerical results for homogeneous and heterogeneous phantoms are very encouraging and give significant improvement over the algorithms without the use of SP3 equations and Bregman iteration method. Hindawi Publishing Corporation 2013 2013-01-22 /pmc/articles/PMC3564267/ /pubmed/23401723 http://dx.doi.org/10.1155/2013/767296 Text en Copyright © 2013 Qiang Wu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Wu, Qiang
Feng, Jinchao
Jia, Kebin
Wang, Xiangyu
spellingShingle Wu, Qiang
Feng, Jinchao
Jia, Kebin
Wang, Xiangyu
Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method
author_facet Wu, Qiang
Feng, Jinchao
Jia, Kebin
Wang, Xiangyu
author_sort Wu, Qiang
title Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method
title_short Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method
title_full Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method
title_fullStr Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method
title_full_unstemmed Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method
title_sort improved reconstruction quality of bioluminescent images by combining sp3 equations and bregman iteration method
description Bioluminescence tomography (BLT) has a great potential to provide a powerful tool for tumor detection, monitoring tumor therapy progress, and drug development; developing new reconstruction algorithms will advance the technique to practical applications. In the paper, we propose a BLT reconstruction algorithm by combining SP3 equations and Bregman iteration method to improve the quality of reconstructed sources. The numerical results for homogeneous and heterogeneous phantoms are very encouraging and give significant improvement over the algorithms without the use of SP3 equations and Bregman iteration method.
publisher Hindawi Publishing Corporation
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3564267/
_version_ 1611952574783553536

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