A CT Reconstruction Algorithm Based on Non-Aliasing Contourlet Transform and Compressive Sensing
Joint Authors
Chen, Mian-yi
He, Peng
Wei, Biao
Feng, Peng
Vo, Quang-sang
Deng, Lu-zhen
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Compressive sensing (CS) theory has great potential for reconstructing CT images from sparse-views projection data.
Currently, total variation (TV-) based CT reconstruction method is a hot research point in medical CT field, which uses the gradient operator as the sparse representation approach during the iteration process.
However, the images reconstructed by this method often suffer the smoothing problem; to improve the quality of reconstructed images, this paper proposed a hybrid reconstruction method combining TV and non-aliasing Contourlet transform (NACT) and using the Split-Bregman method to solve the optimization problem.
Finally, the simulation results show that the proposed algorithm can reconstruct high-quality CT images from few-views projection using less iteration numbers, which is more effective in suppressing noise and artefacts than algebraic reconstruction technique (ART) and TV-based reconstruction method.
American Psychological Association (APA)
Deng, Lu-zhen& Feng, Peng& Chen, Mian-yi& He, Peng& Vo, Quang-sang& Wei, Biao. 2014. A CT Reconstruction Algorithm Based on Non-Aliasing Contourlet Transform and Compressive Sensing. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-496064
Modern Language Association (MLA)
Deng, Lu-zhen…[et al.]. A CT Reconstruction Algorithm Based on Non-Aliasing Contourlet Transform and Compressive Sensing. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-496064
American Medical Association (AMA)
Deng, Lu-zhen& Feng, Peng& Chen, Mian-yi& He, Peng& Vo, Quang-sang& Wei, Biao. A CT Reconstruction Algorithm Based on Non-Aliasing Contourlet Transform and Compressive Sensing. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-496064
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496064