An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction.
文献类型：期刊论文
| 作者 | Hu, Zhanli; Gao, Juan ; Zhang, Na ; Yang, Yongfeng ; Liu, Xin ; Zheng, Hairong ; Liang, Dong |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Because radiation is harmful to patients, it is important to reduce X-ray exposure in the clinic. For CT, reconstructions from sparse views or limited angletomography are being used more frequently for low dose imaging. However, insufficient sampling data causes severe streak artifacts in images reconstructed using conventional methods. To solve this issue, various methods have recently been developed. In this paper, we improve a statistical iterative algorithmbased on the minimization of the image total variation (TV) for sparse or limited projection views during CT image reconstruction. Considering the statisticalnature of the projection data, the TV is performed under a penalized weighted least-squares (PWLS-TV) criterion. During implementation of the proposed method, the image reconstructed using the filtered back-projection (FBP) method is used as the initial value of the first iteration. Next, the feature refinement (FR) step is performed after each PWLS-TV iteration to extract the fine features lost in the TV minimization, which we refer to as 'PWLS-TV-FR'. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12088]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | SCIENTIFIC REPORTS |
| 推荐引用方式 GB/T 7714 | Hu, Zhanli, Gao, Juan , Zhang, Na ,et al. An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction.[J]. SCIENTIFIC REPORTS,2017. |
| APA | Hu, Zhanli., Gao, Juan ., Zhang, Na ., Yang, Yongfeng ., Liu, Xin .,...& Liang, Dong.(2017).An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction..SCIENTIFIC REPORTS. |
| MLA | Hu, Zhanli,et al."An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction.".SCIENTIFIC REPORTS (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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