A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography

Zenghui Wei, Baodong Liu, Bin Dong, Long Wei

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Limited-Angle computed tomography (CT) is common in industrial applications, where incomplete projection data can cause artifacts. For objects made from homogeneous materials, we propose a joint reconstruction and segmentation method that performs joint image reconstruction and segmentation directly on the projection data. We describe an alternating minimization algorithm to solve the resulting optimization problem, and we modify the primal-dual hybrid gradient algorithm for the non-convex piecewise constant Mumford-Shah model, which is a popular approximation model in biomedical image segmentation. The effectiveness of the proposed approach is validated by simulation and by application to actual micro-CT data sets.

Original languageEnglish (US)
Pages (from-to)7780-7791
Number of pages12
JournalIEEE Access
Volume6
DOIs
StatePublished - Jan 31 2018
Externally publishedYes

Fingerprint

Image segmentation
Tomography
X rays
Image reconstruction
Industrial applications

Keywords

  • discrete tomography
  • Limited-Angle
  • Mumford-Shah
  • PCMS
  • prior knowledge

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography. / Wei, Zenghui; Liu, Baodong; Dong, Bin; Wei, Long.

In: IEEE Access, Vol. 6, 31.01.2018, p. 7780-7791.

Research output: Contribution to journalArticle

Wei, Zenghui ; Liu, Baodong ; Dong, Bin ; Wei, Long. / A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography. In: IEEE Access. 2018 ; Vol. 6. pp. 7780-7791.
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