CASIA OpenIR  > 中国科学院分子影像重点实验室
FAST LOCALIZE THE BIOLUMINESCENT SOURCE VIA GRAPH CUTS
Liu, Kai; Tian, J; Zhu, SP; Qin, CH; Zhang, X; Han, D; Tian, Jie
2010
会议名称2010 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO
会议录名称International Symposium on Biomedical Imaging (ISBI)
页码696-699
会议日期2010
会议地点Rotterdam, NETHERLANDS
摘要Bioluminescence imaging (BLI) and bioluminescence tomography (BLT) make it possible to elucidate cellular signatures to better understand the effects of human disease in small animal in vivo. However, to the best of our knowledge, the existing gradient-type reconstruction methods in BLT are not very efficient, and often require a relatively small volume of interest (VOI) for feasible results. In this paper, a fast graph cuts based reconstruction method for BLT is presented, which is to localize the bioluminescent source in heterogeneous mouse atlas via max-flow/min-cut algorithm. Since the original graph cuts theory can only handle graph-representable problem, the quadratic pseudo-boolean optimization is incorporated to make the graph tractable. The internal light source can be reconstructed from the whole domain, so a priori knowledge of VOI can be avoided in this method. In the experiments, the proposed method is validated in a heterogeneous mouse atlas, and the source can be localized reliably and efficiently by graph cuts; and compared with a gradient-type method, graph cuts is about 25-50 times faster
关键词Bioluminescence Tomography (Blt) Inverse Problem Light Propagation In Tissues Diffusion Equation
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/5450
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
推荐引用方式
GB/T 7714
Liu, Kai,Tian, J,Zhu, SP,et al. FAST LOCALIZE THE BIOLUMINESCENT SOURCE VIA GRAPH CUTS[C],2010:696-699.
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