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SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint
Joint Authors
Source
International Journal of Biomedical Imaging
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-04-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yu, Hengyong& Wang, G.. 2010. SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint. International Journal of Biomedical Imaging،Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-509422
Modern Language Association (MLA)
Yu, Hengyong& Wang, G.. SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint. International Journal of Biomedical Imaging No. 2010 (2010), pp.1-9.
https://search.emarefa.net/detail/BIM-509422
American Medical Association (AMA)
Yu, Hengyong& Wang, G.. SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint. International Journal of Biomedical Imaging. 2010. Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-509422
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509422