Image reconstruction from few-view CT data by gradient-domain dictionary learning

Author:

Hu Zhanli123,Liu Qiegen4,Zhang Na15,Zhang Yunwan1,Peng Xi13,Wu Peter Z.1,Zheng Hairong13,Liang Dong13

Affiliation:

1. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. Department of Biomedical Engineering, University of California, Davis, CA, USA

3. Beijing Center for Mathematics and Information Interdisciplinary Sciences, Beijing, China

4. Department of Electronic Information Engineering, Nanchang University, Nanchang, China

5. Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Reference34 articles.

1. Risk of cancer from diagnostic X-rays: Estimates for the UK and 14 other countries;Berrington de Gonzalez;Lancet,2004

2. Exact image reconstruction on PI-lines from minimum data in helical cone-beam CT;Zou;Phys Med Biol,2004

3. Geometric calibration of a micro-CT system and performance for insect imaging;Hu;IEEE Trans Inf Technol Biomed,2011

4. Investigation of BPF algorithm in cone-beam CT with 2D general trajectories;Zou;J Xray Sci Technol,2012

5. Practical cone-beam algorithm;Feldkamp;Journal of the Optical Society of America A,1984

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