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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hui Kang Gao, H. Yueming Hu |
| Copyright Year | 2012 |
| Description | Author affiliation: Engineering Research Center for Precision Electronic Manufacturing Equipments of Ministry of Education, College of Automation Science and Engineering, South China University of Technology, GuangZhou, China (Hui Kang; Gao, H.; Yueming Hu) |
| Abstract | Based on total variation minimization (TV) algorithm and the theory of polynomial acceleration, we prompted a modified algorithm, which is called P-TV in this paper. This new algorithm has a better noise immunity and fewer iteration numbers than the traditional TV algorithm. P-TV algorithm can be divided into four steps. Compared to the traditional TV algorithm, the P-TV algorithm applies the theory of polynomials to ART iteration step to enforce data consistency with the projection data and applies the positivity constraint after the GRAD-step too, which accelerate convergence of image reconstruction. Simulation results prove that when the iteration number is the same, the quality of reconstructed image from P-TV algorithm is better than traditional TV algorithm. When the quality of image reconstructed by both algorithms is nearly the same, the iteration number of P-TV algorithm is much less than the number of traditional TV algorithm. At last we applied the two algorithms to CT image reconstruction from the noisy data. All results show that the P-TV algorithm is effective. |
| Starting Page | 821 |
| Ending Page | 824 |
| File Size | 967555 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467315593 |
| e-ISBN | 9781467315609 |
| e-ISBN | 9781467315586 |
| DOI | 10.1109/CONTROL.2012.6334737 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-03 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | CT TV Computed tomography Polynomial acceleration algorithm Few-views Educational institutions Polynomials Acceleration TV algorithm Image reconstruction Convergence |
| Content Type | Text |
| Resource Type | Article |
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