Acta Optica Sinica, Volume. 39, Issue 9, 0917002(2019)

Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching

Ming Chen, Junyi Xu, Zhishan Gao, Dan Zhu, and Qun Yuan*
Author Affiliations
  • School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
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    Figures & Tables(11)
    Optical path layout of simultaneous phase-shifting interferometric microscopy experiment
    Processing results of simulated microvascular interferogram. (a) One group of four phase-shifting interferogram; (b) unwrapping phase
    Results of simulated microvascular fitting residual extraction. (a) Fitting wavefront; (b) wavefront residual
    Phase of bovine red blood cell. (a) Three-dimensional height distribution; (b) cross-sectional height curve
    Three-dimensional height distribution of red blood cells in partially simulated microvessels. (a) Red blood cell I; (b) red blood cell II; (c) red blood cell III; (d) red blood cell IV
    Characteristic volume model of red blood cell. (a) Three-dimensional height distribution of red blood cell; (b) two-dimensional height distribution of red blood cell
    Adjacent two frames of original pictures in the process of detecting red blood cell flow rate in microvessels. (a) First-frame photo; (b) second-frame photo
    Phase of characteristic red blood cells extracted from the wavefront residuals of simulated microvessels. (a) First-frame processing result; (b) second-frame processing result
    Phase change of red blood cells extracted from the wavefront residuals of adjacent 8 pictures
    • Table 1. Experimental results of blood flow velocity of simulated microvascular at flow rate of 0.1 mm/s

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      Table 1. Experimental results of blood flow velocity of simulated microvascular at flow rate of 0.1 mm/s

      nX'n /pixelY'n /pixelDistance /pixelAzimuth /(°)
      03331400
      14227837.1175.96
      25124337.1175.58
      36120737.3674.48
      46917037.8577.80
      57613238.6479.56
      6879736.6972.55
    • Table 2. Experimental results of blood flow velocity of simulated microvascular at flow rate of 0.1-1.0 mm/s

      View table

      Table 2. Experimental results of blood flow velocity of simulated microvascular at flow rate of 0.1-1.0 mm/s

      Theoretical value /(mm·s-1)Measured velocity /(mm·s-1)Average velocity /(mm·s-1)Deviation /%
      Group 1Group 2Group 3
      0.10.09000.08820.08780.088811.2
      0.20.18490.18480.18020.18338.4
      0.30.27120.27680.27500.27438.6
      0.40.36280.36200.36720.36409.0
      0.50.46180.45840.45580.45878.2
      0.60.54380.54440.54460.54439.3
      0.70.66040.65480.66140.65895.9
      0.80.73820.72300.73640.73258.4
      0.90.85120.84560.84480.84725.9
      1.00.93040.92860.93800.93236.8
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    Ming Chen, Junyi Xu, Zhishan Gao, Dan Zhu, Qun Yuan. Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching[J]. Acta Optica Sinica, 2019, 39(9): 0917002

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Mar. 5, 2019

    Accepted: May. 21, 2019

    Published Online: Sep. 9, 2019

    The Author Email: Yuan Qun (yuanqun@njust.edu.cn)

    DOI:10.3788/AOS201939.0917002

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