A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography
文献类型：期刊论文
| 作者 | Wei, L; Wei ZH(魏增辉) ; Liu BD(刘宝东); Wei, ZH; Liu, BD; Dong, B; Wei L(魏龙)
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| 刊名 | IEEE ACCESS
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| 出版日期 | 2018 |
| 卷号 | 6页码:7780-7791 |
| 关键词 | Limited-angle Mumford-Shah PCMS discrete tomography prior knowledge |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2018.2800719 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | ALGEBRAIC RECONSTRUCTION ; IMAGE-RECONSTRUCTION ; DISCRETE TOMOGRAPHY ; ITERATIVE RECONSTRUCTION ; CT RECONSTRUCTION ; SHORT SCAN ; ALGORITHM ; MINIMIZATION ; PROJECTIONS ; INVERSION |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000427372400001 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/285727]  |
| 专题 | 高能物理研究所_核技术应用研究中心 高能物理研究所_实验物理中心 |
| 通讯作者 | Liu BD(刘宝东) |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Wei, L,Wei ZH,Liu BD,et al. A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography[J]. IEEE ACCESS,2018,6:7780-7791. |
| APA | Wei, L.,魏增辉.,刘宝东.,Wei, ZH.,Liu, BD.,...&魏龙.(2018).A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography.IEEE ACCESS,6,7780-7791. |
| MLA | Wei, L,et al."A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography".IEEE ACCESS 6(2018):7780-7791. |
入库方式： OAI收割
来源：高能物理研究所
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