INVERSION OF ELECTRON TOMOGRAPHY IMAGES USING L-2-GRADIENT FLOWS - COMPUTATIONAL METHODS
文献类型:期刊论文
作者 | Xu, Guoliang1; Li, Ming1![]() |
刊名 | JOURNAL OF COMPUTATIONAL MATHEMATICS
![]() |
出版日期 | 2011-09-01 |
卷号 | 29期号:5页码:501-525 |
关键词 | Computational Inversion Reconstruction Electric Tomography |
ISSN号 | 0254-9409 |
DOI | 10.4208/jcm.1106-m3302 |
英文摘要 | In this paper, we present a stable, reliable and robust method for reconstructing a three dimensional density function from a set of two dimensional electric tomographic images. By minimizing an energy functional consisting of a fidelity term and a regularization term, an L-2-gradient flow is derived. The flow is integrated by a finite element method in the spatial direction and an explicit Euler scheme in temporal direction. The experimental results show that the proposed method is efficient and effective. |
资助项目 | ICES ; NSFC[60773165] ; NSFC[10990013] ; Funds for Creative Research Groups of China[11021101] ; NIH[R01-EB00487] ; NIH[R01-GM074258] ; UT-Portugal COLAB |
WOS研究方向 | Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000296473100002 |
出版者 | VSP BV |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/11335] ![]() |
专题 | 计算数学与科学工程计算研究所 |
通讯作者 | Xu, Guoliang |
作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China 2.Univ Texas Austin, Dept Comp Sci, Austin, TX 78712 USA 3.Univ Texas Austin, Inst Computat Engn & Sci, Austin, TX 78712 USA |
推荐引用方式 GB/T 7714 | Xu, Guoliang,Li, Ming,Gopinath, Ajay,et al. INVERSION OF ELECTRON TOMOGRAPHY IMAGES USING L-2-GRADIENT FLOWS - COMPUTATIONAL METHODS[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2011,29(5):501-525. |
APA | Xu, Guoliang,Li, Ming,Gopinath, Ajay,&Bajaj, Chandrajit L..(2011).INVERSION OF ELECTRON TOMOGRAPHY IMAGES USING L-2-GRADIENT FLOWS - COMPUTATIONAL METHODS.JOURNAL OF COMPUTATIONAL MATHEMATICS,29(5),501-525. |
MLA | Xu, Guoliang,et al."INVERSION OF ELECTRON TOMOGRAPHY IMAGES USING L-2-GRADIENT FLOWS - COMPUTATIONAL METHODS".JOURNAL OF COMPUTATIONAL MATHEMATICS 29.5(2011):501-525. |
入库方式: OAI收割
来源:数学与系统科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。