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Sci Rep. 2017 Oct 24;7(1):13868. doi: 10.1038/s41598-017-13520-y.

Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging.

Chen Y1,2,3, Liu J1,2,3, Xie L4, Hu Y1,2,3, Shu H5,6,7, Luo L1,2,3, Zhang L8, Gui Z9, Coatrieux G10.

Author information

1
Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China.
2
Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing, 210096, China.
3
International Joint Research Laboratory of Information Display and Visualization, Southeast University, Ministry of Education, Nanjing, 210096, China.
4
Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, No. 140, Hanzhong road, Nanjing, 210000, China.
5
Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China. shu.list@seu.edu.cn.
6
Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing, 210096, China. shu.list@seu.edu.cn.
7
International Joint Research Laboratory of Information Display and Visualization, Southeast University, Ministry of Education, Nanjing, 210096, China. shu.list@seu.edu.cn.
8
The General Hospital of Shenyang Military, Shenyang, Liaoning, 110016, China. zlb19782002@163.com.
9
The National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, 030051, China.
10
The Institut Mines-Telecom, Telecom Bretagne; INSERM U1101 LaTIM, Brest, 29238, France.

Abstract

X-ray computed tomography (CT) has been widely used to provide patient-specific anatomical information in the forms of tissue attenuation. However, the cumulative radiation induced in CT scan has raised extensive concerns in recently years. How to maintain reconstruction image quality is a major challenge for low-dose CT (LDCT) imaging. Generally, LDCT imaging can be greatly improved by incorporating prior knowledge in some specific forms. A joint estimation framework termed discriminative prior-prior image constrained compressed sensing (DP-PICCS) reconstruction is proposed in this paper. This DP-PICCS algorithm utilizes discriminative prior knowledge via two feature dictionary constraints which built on atoms from the samples of tissue attenuation feature patches and noise-artifacts residual feature patches, respectively. Also, the prior image construction relies on a discriminative feature representation (DFR) processing by two feature dictionary. Its comparison to other competing methods through experiments on low-dose projections acquired from torso phantom simulation study and clinical abdomen study demonstrated that the DP-PICCS method achieved promising improvement in terms of the effectively-suppressed noise and the well-retained structures.

PMID:
29066731
PMCID:
PMC5655040
DOI:
10.1038/s41598-017-13520-y
[Indexed for MEDLINE]
Free PMC Article

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