Metal artifact reduction in CT images sinogram TV inpainting

Xinhui Duan, Li Zhang, Yongshun Xiao, Jianping Cheng, Zhiqiang Chen, Yuxiang Xing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

65 Scopus citations

Abstract

In this paper, a total variation (TV) inpainting method is proposed for metal artifact reduction in medical computed tomography (CT). Digital inpainting is an image processing method to fill in the lost image information in a consistent way. In our work, projection data with metal projection region (MPR) are treated as a damaged image, and TV inpainting is applied to "inpaint" the information missing region. Compared to conventional interpolation methods, the advantage of our algorithm lies in dealing with complicate cases such as an image with multiple metal objects. In numerical experiments, both TV inpainting and linear interpolation method are performed on noise-free and additive noisy projection of a modified SheppLogan phantom. Results show that the algorithm proposed fills metal projection gaps more smoothly and accurately than linear interpolation, hence produces images of superior quality after reconstruction. Relevant practical issues including the limitation of the algorithm and possible impr vements for future work are discussed.

Original languageEnglish (US)
Title of host publication2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
Pages4175-4177
Number of pages3
DOIs
StatePublished - 2008
Event2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008 - Dresden, Germany
Duration: Oct 19 2008Oct 25 2008

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Other

Other2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
Country/TerritoryGermany
CityDresden
Period10/19/0810/25/08

Keywords

  • Computed tomography( CT)
  • Metal artifacts
  • TV inpainting

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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