Literature DB >> 29935015

Parallelized Monte Carlo software to efficiently simulate the light propagation in arbitrarily shaped objects and aligned scattering media.

Christian Johannes Zoller1, Ansgar Hohmann1, Florian Foschum1, Simeon Geiger1, Martin Geiger2, Thomas Peter Ertl3, Alwin Kienle1.   

Abstract

A GPU-based Monte Carlo software (MCtet) was developed to calculate the light propagation in arbitrarily shaped objects, like a human tooth, represented by a tetrahedral mesh. A unique feature of MCtet is a concept to realize different kinds of light-sources illuminating the complex-shaped surface of an object, for which no preprocessing step is needed. With this concept, it is also possible to consider photons leaving a turbid media and reentering again in case of a concave object. The correct implementation was shown by comparison with five other Monte Carlo software packages. A hundredfold acceleration compared with central processing units-based programs was found. MCtet can simulate anisotropic light propagation, e.g., by accounting for scattering at cylindrical structures. The important influence of the anisotropic light propagation, caused, e.g., by the tubules in human dentin, is shown for the transmission spectrum through a tooth. It was found that the sensitivity to a change in the oxygen saturation inside the pulp for transmission spectra is much larger if the tubules are considered. Another "light guiding" effect based on a combination of a low scattering and a high refractive index in enamel is described. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  Monte Carlo simulation; anisotropic light propagation; parallelization; ray tracing

Mesh:

Year:  2018        PMID: 29935015     DOI: 10.1117/1.JBO.23.6.065004

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  7 in total

1.  Light transport modeling in highly complex tissues using the implicit mesh-based Monte Carlo algorithm.

Authors:  Yaoshen Yuan; Shijie Yan; Qianqian Fang
Journal:  Biomed Opt Express       Date:  2020-12-08       Impact factor: 3.732

2.  FullMonteCUDA: a fast, flexible, and accurate GPU-accelerated Monte Carlo simulator for light propagation in turbid media.

Authors:  Tanner Young-Schultz; Stephen Brown; Lothar Lilge; Vaughn Betz
Journal:  Biomed Opt Express       Date:  2019-08-21       Impact factor: 3.732

3.  Fast and precise image generation of blood vessels embedded in skin.

Authors:  Christian Zoller; Alwin Kienle
Journal:  J Biomed Opt       Date:  2019-01       Impact factor: 3.170

4.  Graphics processing unit-accelerated mesh-based Monte Carlo photon transport simulations.

Authors:  Qianqian Fang; Shijie Yan
Journal:  J Biomed Opt       Date:  2019-11       Impact factor: 3.170

5.  MCX Cloud-a modern, scalable, high-performance and in-browser Monte Carlo simulation platform with cloud computing.

Authors:  Qianqian Fang; Shijie Yan
Journal:  J Biomed Opt       Date:  2022-01       Impact factor: 3.170

6.  Verification method of Monte Carlo codes for transport processes with arbitrary accuracy.

Authors:  Fabrizio Martelli; Federico Tommasi; Angelo Sassaroli; Lorenzo Fini; Stefano Cavalieri
Journal:  Sci Rep       Date:  2021-09-30       Impact factor: 4.379

7.  Two-step verification method for Monte Carlo codes in biomedical optics applications.

Authors:  Angelo Sassaroli; Federico Tommasi; Stefano Cavalieri; Lorenzo Fini; André Liemert; Alwin Kienle; Tiziano Binzoni; Fabrizio Martelli
Journal:  J Biomed Opt       Date:  2022-04       Impact factor: 3.758

  7 in total

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