Low-count PET image restoration using sparse representation. | |
Liang, Dong; Hu, Zhanli; Zheng, Hairong; Li, Tao; Jiang, Changhui; Gao, Juan; Yang, Yongfeng; Liu, Xin | |
刊名 | NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT |
2018 | |
文献子类 | 期刊论文 |
英文摘要 | In the field of positron emission tomography (PET), reconstructed images are often blurry and contain noise. These problems are primarily caused by the low resolution of projection data. Solving this problem by improving hardware is an expensive solution, and therefore, we attempted to develop a solution based on optimizing several related algorithms in both the reconstruction and image post-processing domains. As sparse technology is widely used, sparseprediction is increasingly applied to solve this problem. In this paper, we propose a new sparse method to process low-resolution PET images. Two dictionaries (D-1 for low-resolution PET images and D-2 for high-resolution PET images) are learned from a group real PET image data sets. Among these two dictionaries, D-1 is used to obtain a sparse representation for each patch of the input PET image. Then, a high-resolution PET image is generated from this sparse representation using D-2. Experimental results indicate that the proposed method exhibits a stable and superior ability to enhance image resolution and recover image details. Quantitatively, this method achieves better performance than traditional methods. This proposed strategy is a new and efficient approach for improving the quality of PET images. |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/14315] |
专题 | 深圳先进技术研究院_医工所 |
推荐引用方式 GB/T 7714 | Liang, Dong,Hu, Zhanli,Zheng, Hairong,et al. Low-count PET image restoration using sparse representation.[J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT,2018. |
APA | Liang, Dong.,Hu, Zhanli.,Zheng, Hairong.,Li, Tao.,Jiang, Changhui.,...&Liu, Xin.(2018).Low-count PET image restoration using sparse representation..NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT. |
MLA | Liang, Dong,et al."Low-count PET image restoration using sparse representation.".NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2018). |
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