• Key Magazine of China Technology(CSTPCD)
ISSN 1004-4140
CN 11-3017/P
LIU Wen-lei, RONG Jun-yan, GAO Peng, LIAO Qi-mei, LU Hong-bing. Sparse-view Reconstruction from Restored Low-dose CT Projections[J]. CT Theory and Applications, 2013, 22(3): 421-428.
Citation: LIU Wen-lei, RONG Jun-yan, GAO Peng, LIAO Qi-mei, LU Hong-bing. Sparse-view Reconstruction from Restored Low-dose CT Projections[J]. CT Theory and Applications, 2013, 22(3): 421-428.

Sparse-view Reconstruction from Restored Low-dose CT Projections

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  • Received Date: March 25, 2013
  • Available Online: December 12, 2022
  • In view of the X-ray ionizing radiation damage effects of CT,we propose a method of sparse-view reconstruction based on low-dose CT projection data to reduce the radiation dose.This method uses a penalized weighted least square(PWLS) method for low-dose CT projection denoise,and then reconstructs the CT image from few views of the de-noised projection data.Reconstruction results from a simulation experiment with a Shepp-Logan phantom and real experiment data show that:this method can effectively suppress noise and strip artifacts in reconstructed images,as well as reconstruct good quality images from low-dose few-view CT data.
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    Corresponding author: LU Hong-bing, luhb@fmmu.edu.cn

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