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
刊名JOURNAL OF BIOMEDICAL OPTICS
2012-12-01
卷号17期号:12页码:-
关键词iterative shrinkage bioluminescence imaging tumor detection in vivo imaging
英文摘要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]
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]BIOLUMINESCENCE TOMOGRAPHY ; OPTICAL TOMOGRAPHY ; RECONSTRUCTION ; MINIMIZATION ; ABSORPTION ; MEDIA ; LIGHT ; US ; CT
收录类别SCI
语种英语
WOS记录号WOS:000314504400020
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/4075]  
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.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
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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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