Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation

	Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation
	Jiang, Changhui; Fan, Rui; Hu, Zhanli; Zhang, Qiyang
刊名	SCIENTIFIC REPORTS
	2018
文献子类	期刊论文
英文摘要	In this paper, a single-computed tomography (CT) image super-resolution (SR) reconstruction scheme is proposed. This SR reconstruction scheme is based on sparse representation theory and dictionary learning of low-and high-resolution image patch pairs to improve the poor quality of low-resolution CT images obtained in clinical practice using low-dose CT technology. The proposed strategy is based on the idea that image patches can be well represented by sparse coding of elements from an overcomplete dictionary. To obtain similarity of the sparse representations, two dictionaries of low-and high-resolution image patches are jointly trained. Then, sparse representation coefficients extracted from the low-resolution input patches are used to reconstruct the high-resolution output. Sparse representation is used such that the trained dictionary pair can reduce computational costs. Combined with several appropriate iteration operations, the reconstructed high-resolution image can attain better image quality. The effectiveness of the proposed method is demonstrated using both clinical CT data and simulation image data. Image quality evaluation indexes (root mean squared error (RMSE) and peak signal-to-noise ratio (PSNR)) indicate that the proposed method can effectively improve the resolution of a single CT image.
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/172644/14336]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Jiang, Changhui,Fan, Rui,Hu, Zhanli,et al. Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation[J]. SCIENTIFIC REPORTS,2018.
APA	Jiang, Changhui,Fan, Rui,Hu, Zhanli,&Zhang, Qiyang.(2018).Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation.SCIENTIFIC REPORTS.
MLA	Jiang, Changhui,et al."Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation".SCIENTIFIC REPORTS (2018).