Literature DB >> 29675291

Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging.

Abhinav K Jha1,2,3, Yansong Zhu1,4, Simon Arridge5, Dean F Wong1,6,7,8, Arman Rahmim1,4.   

Abstract

We propose a formalism to incorporate boundary conditions in a Neumann-series-based radiative transport equation. The formalism accurately models the reflection of photons at the tissue-external medium interface using Fresnel's equations. The formalism was used to develop a gradient descent-based image reconstruction technique. The proposed methods were implemented for 3D diffuse optical imaging. In computational studies, it was observed that the average root-mean-square error (RMSE) for the output images and the estimated absorption coefficients reduced by 38% and 84%, respectively, when the reflection boundary conditions were incorporated. These results demonstrate the importance of incorporating boundary conditions that model the reflection of photons at the tissue-external medium interface.

Keywords:  (170.3660) Light propagation in tissues; (170.3880) Medical and biological imaging

Year:  2018        PMID: 29675291      PMCID: PMC5905895          DOI: 10.1364/BOE.9.001389

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  29 in total

1.  Coupled radiative transfer equation and diffusion approximation model for photon migration in turbid medium with low-scattering and non-scattering regions.

Authors:  Tanja Tarvainen; Marko Vauhkonen; Ville Kolehmainen; Simon R Arridge; Jari P Kaipio
Journal:  Phys Med Biol       Date:  2005-10-04       Impact factor: 3.609

2.  A higher order diffusion model for three-dimensional photon migration and image reconstruction in optical tomography.

Authors:  Zhen Yuan; Xin-Hua Hu; Huabei Jiang
Journal:  Phys Med Biol       Date:  2008-12-05       Impact factor: 3.609

3.  Radiative transfer equation for predicting light propagation in biological media: comparison of a modified finite volume method, the Monte Carlo technique, and an exact analytical solution.

Authors:  Fatmir Asllanaj; Sylvain Contassot-Vivier; André Liemert; Alwin Kienle
Journal:  J Biomed Opt       Date:  2014-01       Impact factor: 3.170

Review 4.  Review of Monte Carlo modeling of light transport in tissues.

Authors:  Caigang Zhu; Quan Liu
Journal:  J Biomed Opt       Date:  2013-05       Impact factor: 3.170

5.  Comparison of finite-difference transport and diffusion calculations for photon migration in homogeneous and heterogeneous tissues.

Authors:  A H Hielscher; R E Alcouffe; R L Barbour
Journal:  Phys Med Biol       Date:  1998-05       Impact factor: 3.609

6.  Hybrid model of Monte Carlo simulation and diffusion theory for light reflectance by turbid media.

Authors:  L Wang; S L Jacques
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1993-08       Impact factor: 2.129

7.  Boundary conditions for the diffusion equation in radiative transfer.

Authors:  R C Haskell; L O Svaasand; T T Tsay; T C Feng; M S McAdams; B J Tromberg
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1994-10       Impact factor: 2.129

8.  Three-dimensional Neumann-series approach to model light transport in nonuniform media.

Authors:  Abhinav K Jha; Matthew A Kupinski; Harrison H Barrett; Eric Clarkson; John H Hartman
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-09-01       Impact factor: 2.129

9.  Modeling boundary measurements of scattered light using the corrected diffusion approximation.

Authors:  Ossi Lehtikangas; Tanja Tarvainen; Arnold D Kim
Journal:  Biomed Opt Express       Date:  2012-02-21       Impact factor: 3.732

10.  Exact and efficient solution of the radiative transport equation for the semi-infinite medium.

Authors:  André Liemert; Alwin Kienle
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

View more
  1 in total

1.  Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization.

Authors:  Yansong Zhu; Abhinav K Jha; Dean F Wong; Arman Rahmim
Journal:  Biomed Opt Express       Date:  2018-06-13       Impact factor: 3.732

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.