• DocumentCode
    2513895
  • Title

    Monte Carlo Simulation of Light Propagation in Human Tissue Models

  • Author

    Wang, Z. ; Wang, L. ; Zhang, Y.T. ; Chen, X.D.

  • Author_Institution
    Inst. of Biomed. & Health Eng., CAS, Shenzhen, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the photon propagation process in human brain tissue and skin tissue with various source and detector separation distances were simulated based on the Monte Carlo method. The human brain model and the skin model that were used in our experiments have live layers and seven layers, respectively. The backscattered intensity from every layer of the human tissue model was obtained by marking the deepest layer that every photon can reach. The simulation results of brain model indicated that the source-detector separation distance should be selected at three centimeters for studies on the actions of the brain nerve cells; in order to be more sensitive to the volumetric changes of capillaries in the skin, the separation distance of source and detector should be approximately eight millimeters. Future work was discussed at the end of the paper.
  • Keywords
    Monte Carlo methods; bio-optics; blood vessels; brain; cellular biophysics; neurophysiology; physiological models; skin; Monte Carlo simulation; backscattered intensity; brain nerve cell action; capillary volumetric change; human brain tissue; light propagation; photon propagation process; skin tissue; source-detector separation distance; Biological system modeling; Biological tissues; Biomedical optical imaging; Brain modeling; Humans; Optical propagation; Optical saturation; Optical scattering; Optical sensors; Skin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163086
  • Filename
    5163086