SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint

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2010-04-26
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Hindawi
Abstract

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.

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Hengyong Yu and Ge Wang, “SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint,” International Journal of Biomedical Imaging, vol. 2010, Article ID 934847, 9 pages, 2010. doi:10.1155/2010/934847