Chinese Journal of Lasers, Volume. 51, Issue 3, 0307203(2024)

Time‑Resolved Spectroscopy Based on Monte Carlo Model and Nelder‑Mead Simplex Algorithm

Tong Zhang1, Dongyuan Liu1,2, and Feng Gao1,2、*
Author Affiliations
  • 1College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
  • 2Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin 300072, China
  • show less
    Figures & Tables(11)
    Principle of solving optical parameters using MC-NMS algorithm (μat and μst' are ideal values and μap and μsp' are calculated values)
    Schematic diagrams of biological tissue models. (a) Single-layer biological tissue model, where L represents the thickness of the SL-BTM layer; (b) double-layer biological tissue model, where SDS1 represents the fixed near SDS, SDS2 represents the varying far SDS, L1 represents the thickness of the upper tissue layer, and L2 represents the thickness of the lower tissue layer; (c) a schematic of measuring skin thickness using T1W1 image obtained by magnetic resonance imaging
    Inversion error of SL-BTM optical parameters for different algorithms. (a) Mean relative error in μa ; (b) mean relative error in μs'
    Inversion results of SL-BTM optical parameters for MC-NMS alogrithm when SDS is 3 mm. (a) Inversion result of μa; (b) inversion result of μs'
    Inversion error of DL-BTM optical parameters for MC-NMS algorithm under different SDS combinations when the thickness of the upper layer changes, where d1‒d5 represent the thickness of the upper layer. (a) Mean relative error in μa1; (b) mean relative error in μa2; (c) mean relative error in μs'
    Inversion mean relative error of DL-BTM optical parameters for MC-NMS algorithm under different SDS combinations. (a) Inversion mean relative errors in μa1; (b) inversion mean relative error in μa2; (c) inversion mean relative error in μs'
    Numerical simulation results of DL-BTM optical parameters, where μa1t, μa2t and μst' are respectively the true values of shallow absorption coefficient, deep absorption coefficient and reduced scattering coefficient, and μa1p,μa2p and μsp' are respectively the calculated values of shallow absorption coefficient, deep absorption coefficient and reduced scattering coefficient. (a) Inversion results of MC-NMS; (b) inversion results of TDIA; (c) inversion results of SDIA
    Diagrams of experimental devices. (a) Schematic of time-domain measurement system; (b) IRF and TPSF curves; (c) IRF measuring device; (d) SL-BTM liquid phantom experimental facility; (e) DL-BTM liquid phantom experimental facility
    Inversion results of SL-BTM optical parameters of liquid phantom, where μat and μst' are respectively the true values of absorption coefficient and reduced scattering coefficient, and μap and μsp' are respectively the calculated values of absorption coefficient and reduced scattering coefficient. (a) Inversion result of μa; (b) inversion result of μs'
    Inversion results of DL-BTM optical parameters of liquid phantom,where μa1t, μa2t and μst' are respectively the true values of shallow absorption coefficient, deep absorption coefficient and reduced scattering coefficient, and μa1p, μa2p and μsp' are respectively the calculated values of shallow absorption coefficient, deep absorption coefficient and reduced scattering coefficient. (a) Inversion result of μa1; (b) inversion result of μa2; (c) inversion result of μs'
    • Table 1. Steps for determining vertex positions of simplex

      View table

      Table 1. Steps for determining vertex positions of simplex

      a)If F(X0)<F(XR)<F(X2),move X2 to XR

      b)If F(XR)<F(X0),structure expansion point XE=XR+β(XR-Xmean);if F(XE)<F(XR),move X2 to XE,otherwise move it

      to XR

      c)If F(X1)<F(XR)<F(X2),move X2 to XR,otherwise structure compression point XC=Xmean+γ(X2-Xmean);if F(XC)<F(X2),

      move X2 to XC,otherwise all vectors are compressed along the X0,resulting in:Xi=(1-ρ)X0+ρXi(i=0,1,2)

    Tools

    Get Citation

    Copy Citation Text

    Tong Zhang, Dongyuan Liu, Feng Gao. Time‑Resolved Spectroscopy Based on Monte Carlo Model and Nelder‑Mead Simplex Algorithm[J]. Chinese Journal of Lasers, 2024, 51(3): 0307203

    Download Citation

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

    Category: Optical Diagnostics and Therapy

    Received: Aug. 28, 2023

    Accepted: Oct. 11, 2023

    Published Online: Jan. 24, 2024

    The Author Email: Gao Feng (gaofeng@tju.edu.cn)

    DOI:10.3788/CJL231142

    CSTR:32183.14.CJL231142

    Topics