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http://dx.doi.org/10.9718/JBER.2011.32.3.257

Quantitative Evaluation of Sparse-view CT Images Obtained with Iterative Image Reconstruction Methods  

Kim, H.S. (Dept. of Biomedical Engineering, Kyung Hee University)
Gao, Jie (Dept. of Biomedical Engineering, Kyung Hee University)
Cho, M.H. (Dept. of Biomedical Engineering, Kyung Hee University)
Lee, S.Y. (Dept. of Biomedical Engineering, Kyung Hee University)
Publication Information
Journal of Biomedical Engineering Research / v.32, no.3, 2011 , pp. 257-263 More about this Journal
Abstract
Sparse-view CT imaging is considered to be a solution to reduce x-ray dose of CT. Sparse-view CT imaging may have severe streak artifacts that could compromise the image qualities. We have compared quality of sparseview images reconstructed with two representative iterative reconstruction techniques, SIRT and TV-minimization, in terms of image error and edge preservation. In the comparison study, we have used the Shepp-Logan phantom image and real CT images obtained with a micro-CT. In both phantom image and real CT image tests, TV-minimization technique shows the best performance in error reduction and preserving edges. However, the excessive computation time of TV-minimization is a technical challenge for the practical use.
Keywords
CT; image evaluation; iterative image reconstruction; SIRT; TV-minimization; FBP;
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