| A reweighted joint spatial-radon domain ct image reconstruction model for metal artifact reduction | |
| Zhang, Haimiao1; Dong, Bin2; Liu, Baodong3,4,5 | |
| 刊名 | Siam journal on imaging sciences
 |
| 2018 | |
| 卷号 | 11期号:1页码:707-733 |
| 关键词 | Computerized tomography Metal artifact reduction Tight wavelet frame Joint spatial and radon domain reconstruction |
| ISSN号 | 1936-4954 |
| DOI | 10.1137/17m1140212 |
| 通讯作者 | Dong, bin(dongbin@math.pku.edu.cn) ; Liu, baodong(liubd@ihep.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | TOTAL-VARIATION MINIMIZATION ; RAY COMPUTED-TOMOGRAPHY ; TIGHT FRAME ; AFFINE SYSTEMS ; WAVELET FRAMES ; HIP PROSTHESES ; REGULARIZATION ; ALGORITHM ; SEGMENTATION ; RESTORATION |
| WOS研究方向 | Computer Science ; Mathematics ; Imaging Science & Photographic Technology |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Mathematics, Applied ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | SIAM PUBLICATIONS |
| WOS记录号 | WOS:000428946200023 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/2178156 |
| 专题 | 高能物理研究所 |
| 通讯作者 | Dong, Bin; Liu, Baodong |
| 作者单位 | 1.Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China 2.Peking Univ, Beijing Int Ctr Math Res, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst High Energy Phys, Div Nucl Technol & Applicat, Beijing 100049, Peoples R China 4.Beijing Engn Res Ctr Radi Tech & Equipment, Beijing 100049, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Haimiao,Dong, Bin,Liu, Baodong. 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, Haimiao,Dong, Bin,&Liu, Baodong.(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, Haimiao,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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