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Variable weighted ordered subset image reconstruction algorithm.
Pan, Zhou, Han and 1 other
International journal of biomedical imaging1 Jan 2006Open access
NobleIDark:/48914/w1/20260526/BFDAA718DOI10.1155/ijbi/2006/10398
Variable weighted ordered subset image reconstruction algorithm.
Pan, Zhou, Han and 1 other · International journal of biomedical imaging · 2006
NobleIDark:/48914/w1/20260526/BFDAA718DOI10.1155/ijbi/2006/10398
Abstract
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.