Sparse angular CT reconstruction using non-local means based iterative-correction POCS

作者：Huang, Jing; Ma, Jianhua^*; Liu, Nan; Zhang, Hua; Bian, Zhaoying; Feng, Yanqiu; Feng, Qianjin; Chen, Wufan

来源：Computers in Biology and Medicine, 2011, 41(4): 195-205.

DOI：10.1016/j.compbiomed.2011.01.009

• Sparse angular CT
• POCS
• Non-local means
• Iterative-correction

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.

• 出版日期2011-4
• 单位南方医科大学; 河北医科大学