An improved prior image constrained compressed sensing reconstruction for low-dose computed tomography
- VernacularTitle:改进的先验图像约束的压缩感知重建方法用于低剂量X-线CT
- Author:
Hong GUO
1
;
Zhaoying BIAN
;
Jing HUANG
;
Jianhua MA
Author Information
1. 天津医科大学总医院放射科
- Keywords:
X-ray CT;
low-dose;
prior information;
penalized weighted least-squares;
compressed sensing
- From:
Journal of Southern Medical University
2013;(11):1620-1623
- CountryChina
- Language:Chinese
-
Abstract:
Low-dose computed tomography (CT) reconstruction has become the focus of X-ray CT imaging study. In this paper, we propose an improved prior image constrained compressed sensing (PICCS) reconstruction approach. A penalized weighted least-squares approach was adopted to realize the line integral projection (sinogram) data restoration, followed by filtered back-projection (FBP) of the restored sinogram data for image reconstruction. Finally, the FBP image as the prior image was used for PICCS approach for dose reduction. Qualitative and quantitative evaluations were carried out with computer simulation. The results showed that the present approach yielded noticeable gains over the original PICCS approach for dose reduction in terms of noise-induced artifacts suppression and edge detail preservation.
