Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Detection of mouse liver cancer via a parallel iterative shrinkage method in hybrid optical/microcomputed tomography imaging | |
Wu, Ping1; Liu, Kai2; Zhang, Qian3; Xue, Zhenwen1; Li, Yongbao1; Ning, Nannan4; Yang, Xin1; Li, Xingde5; Tian, Jie1 | |
发表期刊 | JOURNAL OF BIOMEDICAL OPTICS |
2012-12-01 | |
卷号 | 17期号:12页码:- |
文章类型 | Article |
摘要 | Liver cancer is one of the most common malignant tumors worldwide. In order to enable the noninvasive detection of small liver tumors in mice, we present a parallel iterative shrinkage (PIS) algorithm for dual-modality tomography. It takes advantage of microcomputed tomography and multiview bioluminescence imaging, providing anatomical structure and bioluminescence intensity information to reconstruct the size and location of tumors. By incorporating prior knowledge of signal sparsity, we associate some mathematical strategies including specific smooth convex approximation, an iterative shrinkage operator, and affine subspace with the PIS method, which guarantees the accuracy, efficiency, and reliability for three-dimensional reconstruction. Then an in vivo experiment on the bead-implanted mouse has been performed to validate the feasibility of this method. The findings indicate that a tiny lesion less than 3 mm in diameter can be localized with a position bias no more than 1 mm; the computational efficiency is one to three orders of magnitude faster than the existing algorithms; this approach is robust to the different regularization parameters and the l(p) norms. Finally, we have applied this algorithm to another in vivo experiment on an HCCLM3 orthotopic xenograft mouse model, which suggests the PIS method holds the promise for practical applications of whole-body cancer detection. (c) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JBO.17.12.126012] |
关键词 | Iterative Shrinkage Bioluminescence Imaging Tumor Detection In Vivo imagIng |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences |
关键词[WOS] | BIOLUMINESCENCE TOMOGRAPHY ; OPTICAL TOMOGRAPHY ; RECONSTRUCTION ; MINIMIZATION ; ABSORPTION ; MEDIA ; LIGHT ; US ; CT |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Biochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000314504400020 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4075 |
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.Chinese Acad Sci, Inst Automat, Intelligent Med Res Ctr, Beijing 100190, Peoples R China 2.IBM China Res Lab, Beijing 100193, Peoples R China 3.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China 4.Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Heilongjiang, Peoples R China 5.Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21205 USA |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wu, Ping,Liu, Kai,Zhang, Qian,et al. Detection of mouse liver cancer via a parallel iterative shrinkage method in hybrid optical/microcomputed tomography imaging[J]. JOURNAL OF BIOMEDICAL OPTICS,2012,17(12):-. |
APA | Wu, Ping.,Liu, Kai.,Zhang, Qian.,Xue, Zhenwen.,Li, Yongbao.,...&Tian, Jie.(2012).Detection of mouse liver cancer via a parallel iterative shrinkage method in hybrid optical/microcomputed tomography imaging.JOURNAL OF BIOMEDICAL OPTICS,17(12),-. |
MLA | Wu, Ping,et al."Detection of mouse liver cancer via a parallel iterative shrinkage method in hybrid optical/microcomputed tomography imaging".JOURNAL OF BIOMEDICAL OPTICS 17.12(2012):-. |
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