中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging

文献类型:期刊论文

作者Huang, WX; He, QL; Zhu, ZZ; Zhang, J; Yuan, QX; Zhang, K; Wang Y(王研); Huang WX(黄万霞); He QL(何其利); Zhu ZZ(朱中柱)
刊名OPTICAL ENGINEERING
出版日期2018
卷号57期号:5页码:53108
关键词x-ray imaging phase retrieval inverse problems
ISSN号0091-3286
DOI10.1117/1.OE.57.5.053108
文献子类Article
英文摘要Phase retrieval with unidirectional differential phase-contrast image requires integration with noisy data, which is an illposed inverse problem. Conventional direct integration method would result in severe streak artifacts. Total variation (TV) regularization-based method would reduce the streak artifacts, but the edges parallel with phase-contrast sensitivity direction are likely to be over smoothed. We propose an improved weighted TV regularization phase retrieval method by introducing a weighting factor to the conventional TV term. When applied to simulation and experimental data, this method shows an advantage of preserving the sharpness of the edges while preserving the ability of reducing streak artifacts compared with conventional TV-regularization method. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
电子版国际标准刊号1560-2303
WOS关键词X-RAY SOURCES ; ALGORITHM ; RADIOGRAPHY ; IMAGES
WOS研究方向Optics
语种英语
WOS记录号WOS:000435435300017
源URL[http://ir.ihep.ac.cn/handle/311005/286035]  
专题高能物理研究所_多学科研究中心
高能物理研究所_实验物理中心
通讯作者Zhu PP(朱佩平)
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
Huang, WX,He, QL,Zhu, ZZ,et al. Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging[J]. OPTICAL ENGINEERING,2018,57(5):53108.
APA Huang, WX.,He, QL.,Zhu, ZZ.,Zhang, J.,Yuan, QX.,...&Wang, Y.(2018).Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging.OPTICAL ENGINEERING,57(5),53108.
MLA Huang, WX,et al."Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging".OPTICAL ENGINEERING 57.5(2018):53108.

入库方式: OAI收割

来源:高能物理研究所

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