A reweighted joint spatial-radon domain CT image reconstruction model for metal artifact reduction

Haimiao Zhang, Bin Dong, Baodong Liu

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

High-density implants such as metals often lead to serious artifacts in reconstructed computerized tomographic (CT) images, which hampers the accuracy of image-based diagnosis and treatment planning. In this paper, we propose a novel wavelet frame–based CT image reconstruction model to reduce metal artifacts. This model is built on a joint spatial and Radon (projection) domain (JSR) image reconstruction framework with a built-in weighting and reweighting mechanism in the Radon domain to repair degraded projection data. The new weighting strategy used in the proposed model makes the regularization in the Radon domain by wavelet frame transform more effective. The proposed model, which will be referred to as the reweighted JSR model, combines the ideas of the recently proposed wavelet frame–based JSR model [B. Dong, J. Li, and Z. Shen, J. Sci. Comput., 54 (2013), pp. 333–349] and the normalized metal artifact reduction model [E. Meyer, R. Raupach, M. Lell, B. Schmidt, and M. Kachelriess, Med. Phys., 37 (2010), pp. 5482–5493.] and manages to achieve noticeably better CT reconstruction quality than both methods. To solve the proposed reweighted JSR model, an efficient alternative iteration algorithm is proposed with guar- anteed convergence. Numerical experiments on both simulated and real CT image data demonstrate the effectiveness of the reweighted JSR model and its advantage over some state-of-the-art methods.

Original languageEnglish (US)
Pages (from-to)707-733
Number of pages27
JournalSIAM Journal on Imaging Sciences
Volume11
Issue number1
DOIs
StatePublished - Mar 6 2018
Externally publishedYes

Fingerprint

Radon
Image Reconstruction
Image reconstruction
Metals
Model
Weighting
Wavelets
Projection
Wavelet Frames
Implant
Model Reduction
Repair
Regularization
Numerical Experiment
Planning
Transform
Iteration
Alternatives
Demonstrate

Keywords

  • Computerized tomography
  • Joint spatial and radon domain reconstruction
  • Metal artifact reduction
  • Tight wavelet frame

ASJC Scopus subject areas

  • Mathematics(all)
  • Applied Mathematics

Cite this

A reweighted joint spatial-radon domain CT image reconstruction model for metal artifact reduction. / Zhang, Haimiao; Dong, Bin; Liu, Baodong.

In: SIAM Journal on Imaging Sciences, Vol. 11, No. 1, 06.03.2018, p. 707-733.

Research output: Contribution to journalArticle

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