Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Quantitative Evaluation of Sparse-view CT Images Obtained with Iterative Image Reconstruction Methods

반복적 연산으로 얻은 Sparse-view CT 영상에 대한 정량적 평가

  • 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)
  • 김혜선 (경희대학교 생체의공학과) ;
  • ;
  • 조민형 (경희대학교 생체의공학과) ;
  • 이수열 (경희대학교 생체의공학과)
  • Received : 2011.04.13
  • Accepted : 2011.05.27
  • Published : 2011.09.30
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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.

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References

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