Acta Optica Sinica, Volume. 38, Issue 10, 1017003(2018)

Low-Rank-Matrix-Completion-Based Method for Suppressing Background Fluorescence

Xiaodong Wang**, Guohua Geng*, Huangjian Yi, Xuelei He, and Xiaowei He
Author Affiliations
  • School of Information and Technology, Northwest University, Xi'an, Shaanxi 710027, China
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    Figures & Tables(11)
    2D simulation model
    Sketch of FOV
    Flow chart of algorithm 1
    Reconstruction using two methods at noise level of 0.06/50 in single light source experiment. (a) 2D reconstruction using IVTCG-NO method; (b) 2D reconstruction using IVTCG-LR method; (c) 3D reconstruction using IVTCG-NO method; (d) 3D reconstruction using IVTCG-LR method
    Reconstruction using two methods at noise level of 0.06/50 in double light sources. (a) 2D reconstruction using IVTCG-NO method; (b) 2D reconstruction using IVTCG-LR method; (c) 3D reconstruction using IVTCG-NO method; (d) 3D reconstruction using IVTCG-LR method
    • Table 1. Optical parameters of the organs of digital mouse

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      Table 1. Optical parameters of the organs of digital mouse

      Organμax /mm-1μ'sx /mm-1μam /mm-1μ'sm /mm-1g
      Muscle0.0750.4120.0430.3500.90
      Heart0.0510.9440.0300.8700.85
      Stomach0.0101.4170.0071.3400.92
      Liver0.3040.6680.1760.6290.90
      Kidneys0.0582.2040.0342.0210.86
      Lungs0.1702.1570.0972.0930.90
    • Table 2. Reconstruction using two methods at different noise levels

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      Table 2. Reconstruction using two methods at different noise levels

      MethodNL(τ,ε)LE /mmCNRTime /s
      IVTCG-LR0.06/50(10-12,10-12)0.4679±9.2×10-320.5455±1.871.0230±4.4
      IVTCG-NO0.06/50(10-14,10-12)0.7528±013.7432±074.3608±3.2
      IVTCG-LR0.06/60(10-12,10-12)0.4409±8.7×10-325.2068±2.062.6312±4.3
      IVTCG-NO0.06/60(10-14,10-12)0.7420±014.2688±069.7136±1.3
      IVTCG-LR0.06/70(10-12,10-12)0.4154±1.1×10-227.9832±3.3×10-161.4392±7.0
      IVTCG-NO0.06/70(10-14,10-12)0.7313±014.8315±068.2468±0.6
      IVTCG-LR0.06/80(10-12,10-12)0.3928±3.9×10-328.8322±4.0×10-152.3152±3.5
      IVTCG-NO0.06/80(10-14,10-12)0.7134±016.1134±068.2628±1.9
      IVTCG-LR0.06/90(10-12,10-13)0.3810±4.4×10-417.4285±1.2×10-251.3362±4.8
      IVTCG-NO0.06/90(10-14,10-12)0.7031±016.1723±067.9030±1.5
      IVTCG-LR0.06/100(10-12,10-13)0.3591±3.9×10-418.3511±5.9×10-345.3048±1.9
      IVTCG-NO0.06/100(10-14,10-12)0.6915±016.4278±066.2242±0.5
    • Table 3. Running time of OR1MP algorithm and relative errors of the boundary observation vectors before and after denoising operation

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      Table 3. Running time of OR1MP algorithm and relative errors of the boundary observation vectors before and after denoising operation

      NL0.06/500.06/600.06/700.06/800.06/900.06/100
      Time /s0.00520.00520.00580.00620.00560.0054
      eLR1.01720.88580.79650.73310.68630.6508
      eNO1.49441.24531.06740.93400.83020.7472
    • Table 4. Reconstruction using two methods at different noise levels

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      Table 4. Reconstruction using two methods at different noise levels

      MethodNL(τ,ε)LE /mmCNRTime /s
      IVTCG-LR0.06/50(10-14,10-13)0.8234±1.9×10-318.8590±6.1×10-2148.0212±4.4
      IVTCG-NO0.06/50(10-16,10-12)2.7076±013.5230±043.6608±1.4
      IVTCG-LR0.06/60(10-14,10-13)0.8443±8.6×10-418.6281±4.6×10-2146.4514±3.2
      IVTCG-NO0.06/60(10-15,10-12)2.7227±013.2980±048.4676±2.2
      IVTCG-LR0.06/70(10-14,10-13)0.8650±2.4×10-318.2852±6.9×10-2146.5268±2.1
      IVTCG-NO0.06/70(10-15,10-12)2.7368±013.2485±047.4714±1.1
      IVTCG-LR0.06/80(10-14,10-13)0.8837±1.8×10-318.1829±9.2×10-2151.7274±1.3
      IVTCG-NO0.06/80(10-16,10-12)2.7259±013.3588±051.4532±1.3
      IVTCG-LR0.06/90(10-14,10-13)0.9003±3.1×10-317.8455±1.9×10-1147.2034±3.8
      IVTCG-NO0.06/90(10-16,10-12)2.7150±013.5971±050.9520±0.3
      IVTCG-LR0.06/100(10-15,10-12)0.9110±2.8×10-318.6627±1.6×10-170.1896±11
      IVTCG-NO0.06/100(10-17,10-12)2.7343±013.1110±048.5222±7.2
    • Table 5. LE of light source 1 and light source 2 mm

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      Table 5. LE of light source 1 and light source 2 mm

      NL0.06/500.06/600.06/700.06/800.06/900.06/100
      IVTCG-LR(LE1)0.4862±1.0×10-30.5057±8.1×10-40.5247±1.0×10-30.5423±9.4×10-40.5579±2.4×10-30.5787±3.1×10-3
      IVTCG-LR(LE2)0.3372±1.5×10-30.3386±8.4×10-40.3403±1.5×10-30.3414±9.2×10-40.3424±9.9×10-40.3224±2.1×10-3
      IVTCG-NO(LE1)1.8779±01.8957±01.9109±01.8988±01.8767±01.9088±0
      IVTCG-NO(LE2)0.8297±00.8270±00.8259±00.8271±00.8383±00.8255±0
    • Table 6. Running time of OR1MP algorithm and relative errors of the boundary observation vectors before and after denoising operation

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      Table 6. Running time of OR1MP algorithm and relative errors of the boundary observation vectors before and after denoising operation

      NL0.06/500.06/600.06/700.06/800.06/900.06/100
      Time /s0.00460.00560.00500.00460.00540.0056
      eLR1.35041.15951.02800.93320.86250.8082
      eNO2.04651.70541.46181.27901.13691.0232
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    Xiaodong Wang, Guohua Geng, Huangjian Yi, Xuelei He, Xiaowei He. Low-Rank-Matrix-Completion-Based Method for Suppressing Background Fluorescence[J]. Acta Optica Sinica, 2018, 38(10): 1017003

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Jan. 8, 2018

    Accepted: Apr. 28, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1017003

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