Chinese Optics Letters, Volume. 18, Issue 1, 011701(2020)

Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction

Jiaju Cheng and Jianwen Luo*
Author Affiliations
  • Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
  • show less
    Figures & Tables(7)
    Paths of 3D examples for (a) m=1 and (b) m=2 solved by zeroing-Tk and paths for (c) m=1 and (d) m=2 solved by PrSP-Tk. Red arrows: the path in the non-negative space. Dark green dashed doted arrows: the projections of the Newton algorithm projecting points into the solution space. Blue dashed dotted arrows: the zeroing steps projecting points into non-negative space from the solution space. Black arrows: the path of points in the solution space. Mauve dashed arrows: the accelerating step in the solution space.
    (a) Map of the number of iterations needed before the last path could be considered linear for different eigenvalue pairs. (b) The blue curve denotes the maximum number of iterations for given λ1. The black curve denotes the corresponding eigenvalue λi for the maximum number of iterations.
    Reconstruction results of the homogeneous experiment with an EED of 3 mm on the excitation plane by using (a) re-L1-NCG, (b) L1-StOMP, (c) IRL1, (d) zeroing-Tk, and (e) PrSP-Tk, respectively. (f) Profiles along the yellow dashed lines in (a)–(e).
    Reconstruction results of the homogeneous experiment with an EED of 1.5 mm on the excitation plane by using (a) re-L1-NCG, (b) L1-StOMP, (c) IRL1, (d) zeroing-Tk, and (e) PrSP-Tk, respectively. (f) Profiles along the yellow dashed lines in (a)–(e).
    Reconstruction results of the heterogeneous experiment with an EED of 4 mm on the excitation plane by using (a) IRL1 and (b) PrSP-Tk, respectively. (c) Profiles along the yellow dashed lines in (a) and (b).
    • Table 1. PCC, Computational Time (tc), and Number of Iterations (Ni) of the Homogeneous Experiments

      View table
      View in Article

      Table 1. PCC, Computational Time (tc), and Number of Iterations (Ni) of the Homogeneous Experiments

      EED Re-L1-NCGL1-StOMPIRL1Zeroing-TkPrSP-Tk
      3 mmPCC0.600.730.760.820.88
      tc(s)4.020.112.9123.391.04
      Ni5010100150044
      1.5 mmPCC0.560.740.660.750.77
      tc(s)4.010.173.2726.561.10
      Ni507100200050
    • Table 2. PCC, Computational Time, and Number of Iterations of the Heterogeneous-Target Phantom Experiments

      View table
      View in Article

      Table 2. PCC, Computational Time, and Number of Iterations of the Heterogeneous-Target Phantom Experiments

      EED IRL1PrSP-Tk
      4 mmPCC0.520.70
      Computational time (s)4.900.78
      Number of iterations10038
    Tools

    Get Citation

    Copy Citation Text

    Jiaju Cheng, Jianwen Luo, "Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction," Chin. Opt. Lett. 18, 011701 (2020)

    Download Citation

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

    Category: Biomedical Optics

    Received: Sep. 9, 2019

    Accepted: Sep. 29, 2019

    Published Online: Dec. 30, 2019

    The Author Email: Jianwen Luo (luo_jianwen@tsinghua.edu.cn)

    DOI:10.3788/COL202018.011701

    Topics