Resolution and noise performance of sparse view X-ray CT reconstruction via Lp-norm regularization
文献类型：期刊论文
| 作者 | Zhang, Lin; Zhao, Huijuan; Ma, Wenjuan; Jiang, Jingying; Zhang, Limin; Li, Jiao; Gao, Feng; Zhou, Zhongxing |
| 刊名 | PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
 |
| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Objectives: Adaptive steepest descent projection onto convex sets (ASD-POCS) algorithms with Lp-norm (0 < p <= 1) regularization have shown great promise in sparse-view X-ray CT reconstruction. However, the difference in p value selection can lead to varying algorithm performance of noise and resolution. Therefore, it is imperative to develop a reliable method to evaluate the resolution and noise properties of the ASD-POCS algorithms under different Lp-norm priors. Methods: A comparative performance evaluation of ASD-POCS algorithms under different Lp-norm (0 < p <= 2) priors were performed in terms of modulation transfer function (MTF), noise power spectrum (NPS) and noise equivalent quanta (NEQ). Simulation data sets from the EGSnrc/BEAMnrc Monte Carlo system and an actual mouse data set were used for algorithms comparison. Results: A considerable MTF improvement can be achieved with the decrement of p. L1 regularization based algorithm obtains the best noise performance, and shows superiority in NEQ evaluation. The advantage of L1-norm prior is also confirmed by the reconstructions from the actual mouse data set through contrast to noise ratio (CNR) comparison. Conclusion: Although the ASD-POCS algorithms using small Lp-norm (p <= 0.5) priors yield a higher MTF than do the high Lp-norms, the best noise-resolution performance is achieved when p is between 0.8 and 1. The results are expected to be a reference to the choice of p in Lp-norm (0 < p <= 2) regularization. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14352]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Zhang, Lin,Zhao, Huijuan,Ma, Wenjuan,et al. Resolution and noise performance of sparse view X-ray CT reconstruction via Lp-norm regularization[J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS,2018. |
| APA | Zhang, Lin.,Zhao, Huijuan.,Ma, Wenjuan.,Jiang, Jingying.,Zhang, Limin.,...&Zhou, Zhongxing.(2018).Resolution and noise performance of sparse view X-ray CT reconstruction via Lp-norm regularization.PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS. |
| MLA | Zhang, Lin,et al."Resolution and noise performance of sparse view X-ray CT reconstruction via Lp-norm regularization".PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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