Chinese Journal of Lasers, Volume. 48, Issue 7, 0707001(2021)

Bioluminescence Tomography Algorithm Based on Primal Dual Active Set with Continuation

Jingjing Yu*, Lingwei Li, and Qin Tang
Author Affiliations
  • School of Physics and Information Technology, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
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    Figures & Tables(12)
    Simulation experiment for single-source with radius of 1 mm. (a) Digital mouse model containing single-source; (b)--(d) surface intensity distribution obtained at 610 nm,630 nm, and 650 nm, respectively
    Reconstruction results of three algorithms for single-source with different radii: the transverse view at the plane (Z=18 mm) where the center of the real light source is located, and the black circle represents the real light source
    Reconstruction results of three algorithms for single-source with different radii: the profiles of the reconstructed source along X-axis. (a) R=1 mm; (b) R=1.5 mm; (c) R=2 mm
    Simulation experiment of double-source with spacing of 4 mm. (a) Digital mouse model containing two light sources; (b)--(d) surface intensity distribution obtained at 610 nm, 630 nm, 650 nm, respectively
    Reconstruction results of three algorithms for double-source with different spacings: the transverse view at the plane (Z=17 mm) where the center of the real light source is located, and the black circle represents the real light source
    Reconstruction results of three algorithms for double-source with different spacings: the profiles of the reconstructed source along Y-axis. (a) d=4 mm; (b) d=5 mm; (c) d=6 mm
    Surface intensity distribution on the mouse surface obtained at different wavelengths by in vivo experiment
    In vivo reconstruction results by the three algorithms. (a) PDASC algorithm; (b) PDAS algorithm; (c) HTP algorithm
    • Table 1. Optical parameters of biological tissues used in simulation experiment

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      Table 1. Optical parameters of biological tissues used in simulation experiment

      Organμa /mm-1μ's /mm-1
      590 nm610 nm630 nm650 nm590 nm610 nm630 nm650 nm
      Muscle0.960.290.160.120.610.560.510.47
      Heart0.670.200.110.081.151.101.011.01
      Stomach0.130.040.020.021.621.571.531.48
      Liver4.021.200.650.470.770.750.720.70
      Kidney0.750.230.120.092.722.602.472.36
      Lung2.120.670.360.262.322.282.252.21
    • Table 2. Quantitative results of single-source reconstruction

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      Table 2. Quantitative results of single-source reconstruction

      MethodR /mmReconstruction position center /mmCD /%EL /mmRCN
      PDASC1(14.79,10.41,18.08)850.2520.36
      PDAS(15.61,10.42,17.75)700.6714.13
      HTP(15.08,10.23,17.56)470.5215.32
      PDASC1.5(15.31,10.57,18.08)890.3320.56
      PDAS(15.44,10.28,17.31)710.8414.78
      HTP(14.93,10.39,16.63)720.4914.91
      PDASC2(14.79,10.40,18.08)750.2419.85
      PDAS(16.02,10.33,17.39)641.2014.87
      HTP(14.45,9.80,18.61)671.0815.14
    • Table 3. Quantitative results of double-source reconstruction

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      Table 3. Quantitative results of double-source reconstruction

      MethodTargetd /mmReconstruction position center /mmCD /%EL /mmRCN
      PDASCS14(14.29,7.77,16.53)780.6216.52
      S2(13.69,12.33,17.21)690.90
      PDASS1(12.76,7.59,17.06)551.2410.12
      S2(14.47,12.06,16.37)420.96
      HTPS1(14.62,8.65,16.73)341.3311.24
      S2(13.23,12.08,17.45)551.00
      PDASCS15(13.68,6.70,16.71)840.5217.21
      S2(13.69,12.32,17.21)890.49
      PDASS1(14.18,7.55,16.09)321.0710.54
      S2(14.24,12.55,16.55)430.75
      HTPS1(13.70,7.28,16.37)470.7511.58
      S2(13.85,12.84,16.57)580.95
      PDASCS16(13.87,6.70,16.35)650.6916.64
      S2(13.93,13.03,16.71)730.60
      PDASS1(14.14,6.63,16.42)621.1210.43
      S2(13.88,13.79,16.13)240.98
      HTPS1(13.57,7.38,16.95)771.5610.86
      S2(14.18,13.60,16.91)170.61
    • Table 4. Quantitative source reconstruction results in vivo

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      Table 4. Quantitative source reconstruction results in vivo

      AlgorithmTargetReconstruction position center /mmCD /%EL /mmRCN
      PDASCS1(9.16,18.21,23.90)720.6435.74
      S2(10.64,16.14,21.02)810.52
      PDASS1(9.64,17.74,23.02)341.7123.68
      S2(9.93,16.99,21.05)750.65
      HTPS1(9.74,17.69,23.24)321.6125.87
      S2(9.80,17.20,21.30)820.51
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    Jingjing Yu, Lingwei Li, Qin Tang. Bioluminescence Tomography Algorithm Based on Primal Dual Active Set with Continuation[J]. Chinese Journal of Lasers, 2021, 48(7): 0707001

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    Paper Information

    Category: biomedical photonics and laser medicine

    Received: Aug. 14, 2020

    Accepted: Oct. 10, 2020

    Published Online: Mar. 25, 2021

    The Author Email: Yu Jingjing (yujj@snnu.edu.com)

    DOI:10.3788/CJL202148.0707001

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