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Adaptive filtering with self-similarity for low-dose CT imaging

  • Published:2015-12 Issue:24 Volume:126 Page:4949-4953
  • ISSN:0030-4026
  • Container-title:Optik
  • language:en
  • Short-container-title:Optik

Author:

Wang Yingmei,Li Wanlong,Fu Shujun,Zhang Caiming

Funder

National Natural Science Foundation of China

NSFC Joint Fund with Guangdong

Science and Technology Development Project of Shandong Province of China

Fundamental Research Funds of Shandong University

China Scholarship Council

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference40 articles.

1. Noise properties of low-dose CT projections and noise treatment by scale transformations;Lu;IEEE Nucl. Sci. Symp. Conf. Rec.,2001

2. Analytical noise treatment for low-dose CT projection data by penalized weighted least-square smoothing in the KL domain;Lu;SPIE Proc.,2002

3. Nonlinear sinogram smoothing for low-dose X-ray CT;Li;IEEE Trans. Nucl. Sci.,2004

4. Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography;Wang;IEEE Trans. Med. Imaging,2006

5. Noise reduction for low-dose single-slice helical CT sinograms;Wang;IEEE Trans. Nucl. Sci.,2006

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