Sparse-view Reconstruction from Restored Low-dose CT Projections
LIU Wen-lei
RONG Jun-yan
GAO Peng
LIAO Qi-mei
LU Hong-bing?
Abstract：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.
Keywords：low-dose CTdenoisefew-viewpenalized weighted least-squaresTV minimization
Publication Date：2013-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 421-428 )