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A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction
Zhang, HM; Dong, B; Liu BD(刘宝东); Liu, BD
2018
Source PublicationSIAM JOURNAL ON IMAGING SCIENCES
ISSN1936-4954
Volume11Issue:1Pages:707-733
SubtypeArticle
AbstractHigh-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 guaranteed 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.
Keywordcomputerized tomography metal artifact reduction tight wavelet frame joint spatial and radon domain reconstruction
DOI10.1137/17M1140212
WOS KeywordTOTAL-VARIATION MINIMIZATION ; RAY COMPUTED-TOMOGRAPHY ; TIGHT FRAME ; AFFINE SYSTEMS ; WAVELET FRAMES ; HIP PROSTHESES ; REGULARIZATION ; ALGORITHM ; SEGMENTATION ; RESTORATION
Indexed BySCI ; EI
Language英语
WOS Research AreaComputer Science ; Mathematics ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Mathematics, Applied ; Imaging Science & Photographic Technology
WOS IDWOS:000428946200023
EI Accession Number20181705044355
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihep.ac.cn/handle/311005/285795
Collection核技术应用研究中心
Corresponding AuthorLiu BD(刘宝东)
Affiliation中国科学院高能物理研究所
First Author AffilicationInstitute of High Energy
Corresponding Author AffilicationInstitute of High Energy
Recommended Citation
GB/T 7714
Zhang, HM,Dong, B,Liu BD,et al. A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction[J]. SIAM JOURNAL ON IMAGING SCIENCES,2018,11(1):707-733.
APA Zhang, HM,Dong, B,刘宝东,&Liu, BD.(2018).A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction.SIAM JOURNAL ON IMAGING SCIENCES,11(1),707-733.
MLA Zhang, HM,et al."A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction".SIAM JOURNAL ON IMAGING SCIENCES 11.1(2018):707-733.
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