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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 Publication | SIAM JOURNAL ON IMAGING SCIENCES
 |
| ISSN | 1936-4954 |
| Volume | 11Issue:1Pages:707-733 |
| Subtype | Article |
| 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 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. |
| Keyword | computerized tomography metal artifact reduction tight wavelet frame joint spatial and radon domain reconstruction |
| DOI | 10.1137/17M1140212 |
| WOS Keyword | TOTAL-VARIATION MINIMIZATION ; RAY COMPUTED-TOMOGRAPHY ; TIGHT FRAME ; AFFINE SYSTEMS ; WAVELET FRAMES ; HIP PROSTHESES ; REGULARIZATION ; ALGORITHM ; SEGMENTATION ; RESTORATION |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS Research Area | Computer Science ; Mathematics ; Imaging Science & Photographic Technology |
| WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Mathematics, Applied ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000428946200023 |
| EI Accession Number | 20181705044355 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ihep.ac.cn/handle/311005/285795 |
| Collection | 核技术应用研究中心 |
| Corresponding Author | Liu BD(刘宝东) |
| Affiliation | 中国科学院高能物理研究所 |
| First Author Affilication | Institute of High Energy |
| Corresponding Author Affilication | Institute 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 20180310.pdf（3699KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | Application Full Text | |
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