Acta Optica Sinica, Volume. 37, Issue 12, 1217001(2017)

Single-View Enhanced Cerenkov Luminescence Tomography Based on Sparse Bayesian Learning

Yuqing Hou, Hua Xue, Xin Cao, Haibo Zhang, Xuan Qu, and Xiaowei He*
Author Affiliations
  • School of Information and Technology, Northwest University, Xi'an, Shaanxi 710127, China
  • show less
    References(23)

    [10] Yu Jingjing, Wang Haiyu, Li Qiyue. Single-view based multispectral bioluminescence tomography with iteratively shrinking permissible region[J]. Acta Optica Sinica, 36, 1211001(2016).

    [13] Jin Chen, Guo Hongbo, Hou Yuqing et al. Biolunminescence tomography reconstruction based on simplified spherical harmonics approximation model and sparse reconstruction by separable approximation[J]. Acta Optica Sinica, 34, 0617001(2014).

    [14] Dong Fang, Hou Yuqing, Yu Jingjing et al. Fluorescence molecular tomography via greedy method combined with region-shrinking strategy[J]. Laser & Optoelectronics Progress, 53, 011701(2016).

    [16] Tipping M E. The relevance vector machine[C]∥Solla S A, Leen T K, Müller K R. Advances in neural information processing systems 12. Cambridge,, 652-658(2000).

    [21] Guo hongbo, He Xiaowei, Hou Yuqing et al. . Fluorescence molecular tomography based on nonconvex sparse regularization[J]. Acta Optica Sinica, 35, 0717001(2015).

    [22] Tian Y, Cao W H, Luo X X et al. Preparation and luminescence property of Gd2O2S∶X-ray nano-phosphors using the complex precipitation method[J]. Journal of Alloys Compounds, 433, 313-317(2007).

    Tools

    Get Citation

    Copy Citation Text

    Yuqing Hou, Hua Xue, Xin Cao, Haibo Zhang, Xuan Qu, Xiaowei He. Single-View Enhanced Cerenkov Luminescence Tomography Based on Sparse Bayesian Learning[J]. Acta Optica Sinica, 2017, 37(12): 1217001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Jul. 10, 2017

    Accepted: --

    Published Online: Sep. 6, 2018

    The Author Email: He Xiaowei (hexw@nwu.edu.cn)

    DOI:10.3788/AOS201737.1217001

    Topics