Literature DB >> 24727908

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

Vijitha Periyasamy1, Manojit Pramanik2.   

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.

Entities:  

Mesh:

Year:  2014        PMID: 24727908     DOI: 10.1117/1.JBO.19.4.045003

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


  7 in total

1.  Performance investigation of SP3 and diffusion approximation for three-dimensional whole-body optical imaging of small animals.

Authors:  Defu Yang; Xueli Chen; Xu Cao; Jing Wang; Jimin Liang; Jie Tian
Journal:  Med Biol Eng Comput       Date:  2015-04-08       Impact factor: 2.602

2.  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

3.  Hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues.

Authors:  Shijie Yan; Qianqian Fang
Journal:  Biomed Opt Express       Date:  2020-10-08       Impact factor: 3.732

4.  Modeling voxel-based Monte Carlo light transport with curved and oblique boundary surfaces.

Authors:  Anh Phong Tran; Steven Jacques
Journal:  J Biomed Opt       Date:  2020-02       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.  Monte Carlo method for assessment of a multimodal insertable biosensor.

Authors:  Jesse Fine; Michael J McShane; Gerard L Coté
Journal:  J Biomed Opt       Date:  2022-05       Impact factor: 3.758

7.  Meshless Monte Carlo radiation transfer method for curved geometries using signed distance functions.

Authors:  Lewis McMillan; Graham D Bruce; Kishan Dholakia
Journal:  J Biomed Opt       Date:  2022-08       Impact factor: 3.758

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.