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Postreconstruction filtering of 3D PET images by using weighted higher-order singular value decomposition
Liu, Hongbo1,2; Wang, Kun3; Tian, Jie1,2,3
发表期刊BIOMEDICAL ENGINEERING ONLINE
2016-08-27
卷号15期号:1页码:-
文章类型Article
摘要Background: Positron emission tomography (PET) always suffers from high levels of noise due to the constraints of the injected dose and acquisition time, especially in the studies of dynamic PET imaging. To improve the quality of PET image, several approaches have been introduced to suppress noise. However, traditional filters often blur the image edges, or erase small detail, or rely on multiple parameters. In order to solve such problems, nonlocal denoising methods have been adapted to denoise PET images.
关键词Positron Emission Tomography (Pet) Higher-order Singular Value Decomposition (Hosvd) Anscombe Variance-stabilizing Transform (Avst) Similarity Weighted Denoising
WOS标题词Science & Technology ; Technology
DOI10.1186/s12938-016-0221-y
关键词[WOS]POSITRON-EMISSION-TOMOGRAPHY ; WHOLE-BODY PET/CT ; MAXIMUM-LIKELIHOOD ; RECONSTRUCTION ; RESOLUTION ; PERFORMANCE ; ALGORITHMS ; MAP
收录类别SCI
语种英语
项目资助者Program of the National Basic Research and Development Program of China (973)(2011CB707702 ; National Natural Science Foundation of China(81227901 ; Scientific Research and Equipment Development Project of Chinese Academy of Sciences(YZ201359) ; 2015CB755500) ; 81090272 ; 81527805 ; 61231004 ; 61401462)
WOS研究方向Engineering
WOS类目Engineering, Biomedical
WOS记录号WOS:000382196100001
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12177
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
作者单位1.Xidian Univ, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, 266 Xinglong Sect Xifeng Rd, Xian 710126, Peoples R China
2.Xidian Univ, Sch Life Sci & Technol, 266 Xinglong Sect Xifeng Rd, Xian 710126, Peoples R China
3.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
通讯作者单位中国科学院自动化研究所
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GB/T 7714
Liu, Hongbo,Wang, Kun,Tian, Jie. Postreconstruction filtering of 3D PET images by using weighted higher-order singular value decomposition[J]. BIOMEDICAL ENGINEERING ONLINE,2016,15(1):-.
APA Liu, Hongbo,Wang, Kun,&Tian, Jie.(2016).Postreconstruction filtering of 3D PET images by using weighted higher-order singular value decomposition.BIOMEDICAL ENGINEERING ONLINE,15(1),-.
MLA Liu, Hongbo,et al."Postreconstruction filtering of 3D PET images by using weighted higher-order singular value decomposition".BIOMEDICAL ENGINEERING ONLINE 15.1(2016):-.
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