Evaluation of scaling Monte Carlo methods for backscattering properties of turbid media with Gaussian incidence

被引:6
作者
Lin, Lin [1 ]
Zhang, Mei [2 ]
机构
[1] Guangdong Med Coll, Sch Informat Engn, Dongguan 523808, Peoples R China
[2] Dongguan Univ Technol, Coll Elect Engn, Dongguan 523808, Peoples R China
关键词
Gaussian beam; Scaling Monte Carlo; Turbid media; Scattering coefficient; OPTICAL COHERENCE TOMOGRAPHY; DIFFUSE-REFLECTANCE SPECTRA; SCATTERING MEDIA; LIGHT TRANSPORT; PHOTON MIGRATION; SIMULATION; MODEL; TISSUES; PROPAGATION; EXCITATION;
D O I
10.1016/j.optcom.2014.09.058
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The scaling Monte Carlo method and Gaussian model are applied to simulate the transportation of light beam with at waist radius. Much of the time, Monte Carlo simulation is performed for pencil or cone beam where the initial status of the photon is identical. In practical application, incident light is always focused On the sample to form approximate Gauss distribution on the surface. With alteration of Focus position in the sample, the initial status of the photon will not be identical any more. Using the hyperboloid method, the initial reflect angle and coordinates are generated statistically according to the size of Gaussian waist and focus depth. Scaling calculation is performed with baseline data from standard Monte Carlo simulation. The scaling method incorporated with the Gaussian model was tested, and proved effective over a range of scattering coefficients from 20% to 180% relative to the value used in baseline simulation. In most cases, percentage error was less than 10%. The increasing of focus depth will result in larger error of scaled radial reflectance in the region close to the optical axis. In addition to evaluating accuracy of scaling the Monte Carlo method, this study has given implications for inverse Monte Carlo with arbitrary parameters of optical system. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:134 / 139
页数:6
相关论文
共 50 条
  • [31] Hybrid Monte Carlo simulation with ray tracing for fluorescence measurements in turbid media
    Lee, Seung Yup
    Mycek, Mary-Ann
    OPTICS LETTERS, 2018, 43 (16) : 3846 - 3849
  • [32] Multiple processor version of a Monte Carlo code for photon transport in turbid media
    Colasanti, A
    Guida, G
    Kisslinger, A
    Liuzzi, R
    Quarto, M
    Riccio, P
    Roberti, G
    Villani, F
    COMPUTER PHYSICS COMMUNICATIONS, 2000, 132 (1-2) : 84 - 93
  • [33] Neu(t)ralMC: energy-efficient open source Monte Carlo algorithm for assessing photon transport in turbid media
    Clennell, Abigail
    Nguyen, Vinh
    Yakovlev, Vladislav V.
    Doronin, Alexander
    OPTICS EXPRESS, 2023, 31 (19) : 30921 - 30931
  • [34] New approach for absolute fluence distribution calculations in Monte Carlo simulations of light propagation in turbid media
    Boecklin, Christoph
    Baumann, Dirk
    Froehlich, Juerg
    JOURNAL OF APPLIED PHYSICS, 2014, 115 (06)
  • [35] GPU-accelerated Object-Oriented Monte Carlo modeling of photon migration in turbid media
    Doronin, Alex
    Meglinski, Igor
    SARATOV FALL MEETING 2010: OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE XII, 2011, 7999
  • [36] Coupled forward-adjoint Monte Carlo simulation of spatial-angular light fields to determine optical sensitivity in turbid media
    Gardner, Adam R.
    Hayakawa, Carole K.
    Venugopalan, Vasan
    JOURNAL OF BIOMEDICAL OPTICS, 2014, 19 (06)
  • [37] An empirical formula based on Monte Carlo simulation for diffuse reflectance from turbid media
    Gnanatheepam, Einstein
    Aruna, Prakasa Rao
    Ganesan, Singaravelu
    OPTICAL BIOPSY XIV: TOWARD REAL-TIME SPECTROSCOPIC IMAGING AND DIAGNOSIS, 2016, 9703
  • [38] Polarization state transition mechanism of light through turbid media by Monte Carlo simulation
    Ren, Yuhu
    Jian, Jimo
    Tan, Wenjiang
    Wang, Jing
    Chen, Tao
    Zhang, Haikun
    Xia, Wei
    LASER PHYSICS, 2024, 34 (02)
  • [39] Monte-Carlo-based model for the extraction of intrinsic fluorescence from turbid media
    Palmer, Gregory M.
    Ramanujam, Nirmala
    JOURNAL OF BIOMEDICAL OPTICS, 2008, 13 (02)
  • [40] Voxel-based Monte Carlo simulation for light propagation in inhomogeneous turbid media
    Ishii, Katsuhiro
    Okada, Tatsuhiro
    Nishidate, Izumi
    Iwai, Toshiaki
    DIFFUSE OPTICAL IMAGING IV, 2013, 8799