Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 41, Issue 4, Pages 195-205Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2011.01.009
Keywords
Sparse angular CT; POCS; Non-local means; Iterative-correction
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Funding
- 973 Program of China [2010CB732503]
- National Natural Science Foundation of China [81000613, 30730036, 30800254, 30900380]
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In divergent-beam computed tomography (CT), sparse angular sampling frequently leads to conspicuous streak artifacts. In this paper, we propose a novel non-local means (NL-means) based iterative-correction projection onto convex sets (POCS) algorithm, named as NLMIC-POCS, for effective and robust sparse angular CT reconstruction. The motivation for using NLMIC-POCS is that NL-means filtered image can produce an acceptable priori solution for sequential POCS iterative reconstruction. The NLMIC-POCS algorithm has been tested on simulated and real phantom data. The experimental results show that the presented NLMIC-POCS algorithm can significantly improve the image quality of the sparse angular CT reconstruction in suppressing streak artifacts and preserving the edges of the image. (C) 2011 Elsevier Ltd. All rights reserved.
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