• Chinese Optics Letters
  • Vol. 8, Issue 10, 1010 (2010)
Jinchao Feng1, Kebin Jia1, Chenghu Qin2, Shouping Zhu2, Xin Yang2, and Jie Tian2
Author Affiliations
  • 1College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • 2Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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    DOI: 10.3788/COL20100810.1010 Cite this Article Set citation alerts
    Jinchao Feng, Kebin Jia, Chenghu Qin, Shouping Zhu, Xin Yang, Jie Tian. Sparse Bayesian reconstruction method for multispectral bioluminescence tomography[J]. Chinese Optics Letters, 2010, 8(10): 1010 Copy Citation Text show less
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    CLP Journals

    [1] Mingjian Sun, Naizhang Feng, Yi Shen, Jiangang Li, Liyong Ma, Zhenghua Wu. Photoacoustic image reconstruction based on Bayesian compressive sensing algorithm[J]. Chinese Optics Letters, 2011, 9(6): 061002

    [2] Wei Li, Heng Zhao, Xiaochao Qu, Yanbin Hou, Xueli Chen, Duofang Chen, Xiaowei He, Qitan Zhang, Jimin Liang. Improved AFEM algorithm for bioluminescence tomography based on dual-mesh alternation strategy[J]. Chinese Optics Letters, 2012, 10(2): 021701

    Data from CrossRef

    [1] Jinchao Feng, Chenghu Qin, Kebin Jia, Shouping Zhu, Xin Yang, Jie Tian. Bioluminescence Tomography Imaging In Vivo: Recent Advances. IEEE Journal of Selected Topics in Quantum Electronics, 18, 1394(2012).

    [2] Chenghu Qin, Jinchao Feng, Shouping Zhu, Xibo Ma, Jianghong Zhong, Ping Wu, Zhengyu Jin, Jie Tian. Recent advances in bioluminescence tomography: methodology and system as well as application. Laser & Photonics Reviews, 8, 94(2014).

    [3] Jinchao Feng, Chenghu Qin, Kebin Jia, Dong Han, Kai Liu, Shouping Zhu, Xin Yang, Jie Tian. An adaptive regularization parameter choice strategy for multispectral bioluminescence tomography. Medical Physics, 38, 5933(2011).

    [4] Jinchao Feng, Chenghu Qin, Kebin Jia, Shouping Zhu, Kai Liu, Dong Han, Xin Yang, Quansheng Gao, Jie Tian. Total variation regularization for bioluminescence tomography with the split Bregman method. Applied Optics, 51, 4501(2012).

    [5] Jinchao Feng, Kebin Jia, Zhe Li, Brian W. Pogue, Mingjie Yang, Yaqi Wang. Bayesian sparse-based reconstruction in bioluminescence tomography improves localization accuracy and reduces computational time. Journal of Biophotonics, 11, e201700214(2018).

    Jinchao Feng, Kebin Jia, Chenghu Qin, Shouping Zhu, Xin Yang, Jie Tian. Sparse Bayesian reconstruction method for multispectral bioluminescence tomography[J]. Chinese Optics Letters, 2010, 8(10): 1010
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