A fast reconstruction algorithm based on parallel coordinate descent optimization for in vivo tomographic bioluminescence imaging

	A fast reconstruction algorithm based on parallel coordinate descent optimization for in vivo tomographic bioluminescence imaging
	Liu, Kai; Tian, Jie; Yang, Xin; Qin, Chenghu; Zhu, Shouping; Han, Dong; Wu, Ping
	2011
会议名称	International Symposium on Biomedical Imaging
会议录名称	International Symposium on Biomedical Imaging (ISBI)
页码	492-495
会议日期	2011
会议地点	Chicago lllinois USA
摘要	Bioluminescence imaging (BLI) offers an alternative opportunity for non-invasively visualizing biological processes at the physiological and molecular levels in whole animals. Tomographic bioluminescence imaging (TBI) can further translate planar imaging into three-dimensional quantitative bioluminescent source distribution. Although many reconstruction methods have been developed, efforts are still needed to make the tomographic methods more practical for biomedical imaging experiments. In this paper, a fast reconstruction algorithm based on parallel coordinate descent optimization is proposed for in vivo tomographic bioluminescence imaging. Based on the shrinking operation, the proposed method is very efficient. Moreover, in order to obtain the analytic form of the updating shrinkage function, a smooth and convex approximation to the regularization term Lp is utilized, so this term can be easily generalized for 1 ≤ p ≤ 2. In the experiments, the imaging performance of the proposed method demonstrates that it has the ability to recover reliable tomographic results with a wide range of regularization parameters and different p. Moreover, the high efficiency makes it potential for real time imaging reconstruction.
关键词	Tomographic Imaging Optical Imaging Bioluminescence Imaging Inverse Problem Light Propagation In Tissues
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5418
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, Jie,Yang, Xin,et al. A fast reconstruction algorithm based on parallel coordinate descent optimization for in vivo tomographic bioluminescence imaging[C],2011:492-495.

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