Research on defect detection from incomplete scanning of X-ray

Shun Li Zhang, Ding Hua Zhang, Yun Yong Cheng, Xiao Lin Li

Research output: Contribution to journalArticlepeer-review

Abstract

Computed tomography (CT) is an advanced means of non-destructive testing, which has been widely used in medical and industrial fields. Aiming at the non-destructive testing problem of large industrial components, It presents a defect detection method from incomplete scanning of X-ray. Firstly, a set of incomplete scanning projection data before using the component has been obtained, then reconstruct them by algebraic reconstruction technique (ART), and take the reconstructed images as the norm images. Then, the incomplete projection data of different times during the use of the component has been obtained, and reconstruct them by ART algorithm. Finally, It make digital subtraction operation by the reconstructed images and the norm images, the defection can be detected clearly and intuitively from the subtraction image. Experimental result shows the proposed method is effective.

Original languageEnglish
Pages (from-to)359-363
Number of pages5
JournalHedianzixue Yu Tance Jishu/Nuclear Electronics and Detection Technology
Volume31
Issue number3
StatePublished - Mar 2011

Keywords

  • Algebraic reconstruction technique
  • Defect detection
  • Digital subtraction
  • Image reconstruction
  • Industrial computed tomography

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