Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study
文献类型：期刊论文
| 作者 | Yi, Huangjian1; Chen, Duofang1; Li, Wei1 ; Zhu, Shouping1; Wang, Xiaorui2; Liang, Jimin1; Tian, Jie1,3
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| 刊名 | JOURNAL OF BIOMEDICAL OPTICS
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| 出版日期 | 2013-05-01 |
| 卷号 | 18期号:5页码:- |
| 关键词 | fluorescence molecular tomography regularization method imaging reconstruction early detection of tumor drug distribution |
| 英文摘要 | Fluorescence molecular tomography (FMT) is an important imaging technique of optical imaging. The major challenge of the reconstruction method for FMT is the ill-posed and underdetermined nature of the inverse problem. In past years, various regularization methods have been employed for fluorescence target reconstruction. A comparative study between the reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of FMT is presented. The first imaging model is adopted by most researchers, where the fluorescent target is of small size to mimic small tissue with fluorescent substance, as demonstrated by the early detection of a tumor. The second model is the reconstruction of distribution of the fluorescent substance in organs, which is essential to drug pharmacokinetics. Apart from numerical experiments, in vivo experiments were conducted on a dual-modality FMT/micro-computed tomography imaging system. The experimental results indicated that l(1)-norm regularization is more suitable for reconstructing the small fluorescent target, while l(2)-norm regularization performs better for the reconstruction of the distribution of fluorescent substance. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences |
| 类目[WOS] | Biochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
| 研究领域[WOS] | Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
| 关键词[WOS] | DIFFUSE OPTICAL TOMOGRAPHY ; BIOLUMINESCENCE TOMOGRAPHY ; BREAST-CANCER ; IN-VIVO ; SYSTEM ; LIGHT ; METHYLATION ; CT |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000322339900028 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/4073]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 作者单位 | 1.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China 2.Xidian Univ, Sch Tech Phys, Xian 710071, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yi, Huangjian,Chen, Duofang,Li, Wei,et al. Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study[J]. JOURNAL OF BIOMEDICAL OPTICS,2013,18(5):-. |
| APA | Yi, Huangjian.,Chen, Duofang.,Li, Wei.,Zhu, Shouping.,Wang, Xiaorui.,...&Tian, Jie.(2013).Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study.JOURNAL OF BIOMEDICAL OPTICS,18(5),-. |
| MLA | Yi, Huangjian,et al."Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study".JOURNAL OF BIOMEDICAL OPTICS 18.5(2013):-. |
入库方式： OAI收割
来源：自动化研究所
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