Open Access
25 February 2020 Modeling voxel-based Monte Carlo light transport with curved and oblique boundary surfaces
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Abstract

Significance: Monte Carlo (MC) light transport simulations are most often performed in regularly spaced three-dimensional voxels, a type of data representation that naturally struggles to represent boundary surfaces with curvature and oblique angles. Not accounting properly for such boundaries with an index of refractivity, mismatches can lead to important inaccuracies, not only in the calculated angles of reflection and transmission but also in the amount of light that transmits through or reflects from these mismatched boundary surfaces.

Aim: A new MC light transport algorithm is introduced to deal with curvature and oblique angles of incidence when simulated photons encounter mismatched boundary surfaces.

Approach: The core of the proposed algorithm applies the efficient preprocessing step of calculating a gradient map of the mismatched boundaries, a smoothing step on this calculated 3D vector field to remove surface roughness due to discretization and an interpolation scheme to improve the handling of curvature.

Results: Through simulations of light hitting the side of a sphere and going through a lens, the agreement of this approach with analytical solutions is shown to be strong.

Conclusions: The MC method introduced here has the advantage of requiring only slight implementation changes from the current state-of-the-art to accurately simulate mismatched boundaries and readily exploit the acceleration of general-purpose graphics processing units. A code implementation, mcxyzn, is made available and maintained at https://omlc.org/software/mc/mcxyzn/.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Anh Phong Tran and Steven L. Jacques "Modeling voxel-based Monte Carlo light transport with curved and oblique boundary surfaces," Journal of Biomedical Optics 25(2), 025001 (25 February 2020). https://doi.org/10.1117/1.JBO.25.2.025001
Received: 30 November 2019; Accepted: 31 January 2020; Published: 25 February 2020
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Monte Carlo methods

Photons

Refractive index

Binary data

Scattering

Tissues

Optical spheres

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