文章基本信息

标题：SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint
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作者：Hengyong Yu ; Ge Wang
期刊名称：International Journal of Biomedical Imaging
印刷版ISSN：1687-4188
电子版ISSN：1687-4196
出版年度：2010
卷号：2010
DOI：10.1155/2010/934847
出版社：Hindawi Publishing Corporation
摘要：Based on the recent mathematical findings on solving the linear inverse problems with sparsity constraints by Daubechiesx et al., here we adapt a simultaneous algebraic reconstruction technique (SART) for image reconstruction from a limited number of projections subject to a sparsity constraint in terms of an invertible compression transform. The algorithm is implemented with an exemplary Haar wavelet transform and tested with a modified Shepp-Logan phantom. Our preliminary results demonstrate that the sparsity constraint helps effectively improve the quality of reconstructed images and reduce the number of necessary projections.