Variable Weighted Ordered Subset Image Reconstruction Algorithm

We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to improve the algebraic reconstruction technique (ART) and simultaneous algebraic reconstruction technique (SART) and establish their convergence. In the two algorithms, the weighting varies with the geomet...

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Main Authors: Jinxiao Pan, Tie Zhou, Yan Han, Ming Jiang
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/IJBI/2006/10398
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author Jinxiao Pan
Tie Zhou
Yan Han
Ming Jiang
author_facet Jinxiao Pan
Tie Zhou
Yan Han
Ming Jiang
author_sort Jinxiao Pan
collection DOAJ
description We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to improve the algebraic reconstruction technique (ART) and simultaneous algebraic reconstruction technique (SART) and establish their convergence. In the two algorithms, the weighting varies with the geometrical direction of the ray. Experimental results with both numerical simulation and real CT data demonstrate that the VW-ART has a significant improvement in the quality of reconstructed images over ART and OS-SART. Moreover, both VW-ART and VW-OS-SART are more promising in convergence speed than the ART and SART, respectively.
format Article
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institution Kabale University
issn 1687-4188
1687-4196
language English
publishDate 2006-01-01
publisher Wiley
record_format Article
series International Journal of Biomedical Imaging
spelling doaj-art-a14c7263893340b098cd2b5ca6b27e172025-02-03T05:54:29ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962006-01-01200610.1155/IJBI/2006/1039810398Variable Weighted Ordered Subset Image Reconstruction AlgorithmJinxiao Pan0Tie Zhou1Yan Han2Ming Jiang3LMAM, School of Mathematical Sciences, Peking University, Beijing 100871, ChinaLMAM, School of Mathematical Sciences, Peking University, Beijing 100871, ChinaDepartment of Mathematics, North University of China, Taiyuan, Shanxi 030051, ChinaLMAM, School of Mathematical Sciences, Peking University, Beijing 100871, ChinaWe propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to improve the algebraic reconstruction technique (ART) and simultaneous algebraic reconstruction technique (SART) and establish their convergence. In the two algorithms, the weighting varies with the geometrical direction of the ray. Experimental results with both numerical simulation and real CT data demonstrate that the VW-ART has a significant improvement in the quality of reconstructed images over ART and OS-SART. Moreover, both VW-ART and VW-OS-SART are more promising in convergence speed than the ART and SART, respectively.http://dx.doi.org/10.1155/IJBI/2006/10398
spellingShingle Jinxiao Pan
Tie Zhou
Yan Han
Ming Jiang
Variable Weighted Ordered Subset Image Reconstruction Algorithm
International Journal of Biomedical Imaging
title Variable Weighted Ordered Subset Image Reconstruction Algorithm
title_full Variable Weighted Ordered Subset Image Reconstruction Algorithm
title_fullStr Variable Weighted Ordered Subset Image Reconstruction Algorithm
title_full_unstemmed Variable Weighted Ordered Subset Image Reconstruction Algorithm
title_short Variable Weighted Ordered Subset Image Reconstruction Algorithm
title_sort variable weighted ordered subset image reconstruction algorithm
url http://dx.doi.org/10.1155/IJBI/2006/10398
work_keys_str_mv AT jinxiaopan variableweightedorderedsubsetimagereconstructionalgorithm
AT tiezhou variableweightedorderedsubsetimagereconstructionalgorithm
AT yanhan variableweightedorderedsubsetimagereconstructionalgorithm
AT mingjiang variableweightedorderedsubsetimagereconstructionalgorithm