Monte Carlo simulation of light transport in turbid medium with embedded object—spherical, cylindrical, ellipsoidal, or cuboidal objects embedded within multilayered tissues

Abstract. Monte Carlo modeling of light transport in multilayered tissue (MCML) is modified to incorporate objects of various shapes (sphere, ellipsoid, cylinder, or cuboid) with a refractive-index mismatched boundary. These geometries would be useful for modeling lymph nodes, tumors, blood vessels, capillaries, bones, the head, and other body parts. Mesh-based Monte Carlo (MMC) has also been used to compare the results from the MCML with embedded objects (MCML-EO). Our simulation assumes a realistic tissue model and can also handle the transmission/reflection at the object-tissue boundary due to the mismatch of the refractive index. Simulation of MCML-EO takes a few seconds, whereas MMC takes nearly an hour for the same geometry and optical properties. Contour plots of fluence distribution from MCML-EO and MMC correlate well. This study assists one to decide on the tool to use for modeling light propagation in biological tissue with objects of regular shapes embedded in it. For irregular inhomogeneity in the model (tissue), MMC has to be used. If the embedded objects (inhomogeneity) are of regular geometry (shapes), then MCML-EO is a better option, as simulations like Raman scattering, fluorescent imaging, and optical coherence tomography are currently possible only with MCML.

[1]  Quan Liu,et al.  Hybrid method for fast Monte Carlo simulation of diffuse reflectance from a multilayered tissue model with tumor-like heterogeneities. , 2012, Journal of biomedical optics.

[2]  M. Kohl,et al.  Near-infrared optical properties of ex vivo human skin and subcutaneous tissues measured using the Monte Carlo inversion technique. , 1998, Physics in medicine and biology.

[3]  Hans Zappe,et al.  Radiative transport in large arteries. , 2013, Biomedical optics express.

[4]  L. Wang,et al.  Optimal beam size for light delivery to absorption-enhanced tumors buried in biological tissues and effect of multiple-beam delivery: a Monte Carlo study. , 1997, Applied optics.

[5]  Anita Mahadevan-Jansen,et al.  Monte Carlo Model of Spatially Offset Raman Spectroscopy for Breast Tumor Margin Analysis , 2010, Applied spectroscopy.

[6]  L Wang,et al.  MCML--Monte Carlo modeling of light transport in multi-layered tissues. , 1995, Computer methods and programs in biomedicine.

[7]  David A Boas,et al.  Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units. , 2009, Optics express.

[8]  Chunping Zhang,et al.  Monte Carlo simulation for the light propagation in two-layered cylindrical biological tissues , 2007 .

[9]  P. Butler,et al.  Modelling the distribution of laser light in port-wine stains with the Monte Carlo method. , 1995, Physics in medicine and biology.

[10]  Pavel Matousek,et al.  Dependence of Signal on Depth in Transmission Raman Spectroscopy , 2011, Applied spectroscopy.

[11]  Quan Liu,et al.  Review of Monte Carlo modeling of light transport in tissues , 2013, Journal of biomedical optics.

[12]  Thomas E. Milner,et al.  A three-dimensional modular adaptable grid numerical model for light propagation during laser irradiation of skin tissue , 1996 .

[13]  Qianqian Fang,et al.  Mesh-based Monte Carlo method using fast ray-tracing in Plücker coordinates , 2010, Biomedical optics express.

[14]  S L Jacques,et al.  CONV--convolution for responses to a finite diameter photon beam incident on multi-layered tissues. , 1997, Computer methods and programs in biomedicine.

[15]  A. Roggan,et al.  Optical Properties of Circulating Human Blood in the Wavelength Range 400-2500 nm. , 1999, Journal of biomedical optics.

[16]  Craig Gardner,et al.  Propagation of fluorescent light , 1997, Lasers in surgery and medicine.

[17]  E. Okada,et al.  Monte Carlo prediction of near-infrared light propagation in realistic adult and neonatal head models. , 2003, Applied optics.

[18]  Manojit Pramanik,et al.  Monte Carlo simulation of light transport in tissue for optimizing light delivery in photoacoustic imaging of the sentinel lymph node , 2013, Journal of biomedical optics.

[19]  Sergio Fantini,et al.  Absolute measurement of absorption and scattering coefficients spectra of a multiply scattering medium , 1994, Photonics West - Lasers and Applications in Science and Engineering.

[20]  B. Wilson,et al.  A Monte Carlo model for the absorption and flux distributions of light in tissue. , 1983, Medical physics.

[21]  Igor Meglinski,et al.  Online object oriented Monte Carlo computational tool for the needs of biomedical optics , 2011, Biomedical optics express.

[22]  S. A. Prahl,et al.  A Monte Carlo model of light propagation in tissue , 1989, Other Conferences.

[23]  B. Bouma,et al.  Multicanonical Monte-Carlo simulations of light propagation in biological media. , 2005, Optics Express.

[24]  B. Wilson,et al.  Monte Carlo modeling of light propagation in highly scattering tissues. I. Model predictions and comparison with diffusion theory , 1989, IEEE Transactions on Biomedical Engineering.

[25]  L. Wang,et al.  Absorption distribution of an optical beam focused into a turbid medium. , 1999, Applied optics.

[26]  C. Hourdakis,et al.  A Monte Carlo estimation of tissue optical properties for use in laser dosimetry. , 1995, Physics in medicine and biology.

[27]  Brian W. Pogue,et al.  A GAMOS plug-in for GEANT4 based Monte Carlo simulation of radiation-induced light transport in biological media , 2013, Biomedical optics express.

[28]  Muhammad Atif,et al.  Modeling of light propagation in turbid medium using Monte Carlo simulation technique , 2011 .

[29]  Afsari Golshan Mohammad,et al.  The Propagation of Laser Light in Skin by Monte Carlo- Diffusion Method: A Fast and Accurate Method to Simulate Photon Migration in Biological Tissues , 2011 .

[30]  M. Copet,et al.  A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy , 1993 .

[31]  D. Sardar,et al.  Optical Properties of Whole Blood , 1998, Lasers in Medical Science.