Journal of Northeastern University:Natural Science ›› 2013, Vol. 34 ›› Issue (1): 48-51.DOI: -

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Metal Artifacts Reduction in CT Images via Redundant Representation

MAO Bao-lin, CHEN Yong-li, XIAO Da-yu, KANG Yan   

  1. School of Sino-Dutch Biomedical & Information Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2012-06-10 Revised:2012-06-10 Online:2013-01-15 Published:2013-01-26
  • Contact: KANG Yan
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Abstract: A new calibration method based on redundant representation was proposed for metal artifacts in CT medical images. First of all, metal projection region was obtained by projecting the segmented metal region. Then, the data of metal projection region was subtracted from the original projection data. Finally, the metal projection data was restored by using redundant representation method and the corrected image was generated after filtered back projection. The calibration results showed that the proposed method can reduce metal artifacts effectively in the reconstructed images.

Key words: metal artifacts, CT images, projection data, filtered back projection, redundant representation

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