Literature DB >> 28663872

Lookup table-based sampling of the phase function for Monte Carlo simulations of light propagation in turbid media.

Peter Naglič1, Franjo Pernuš1, Boštjan Likar1, Miran Bürmen1.   

Abstract

Analytical expressions for sampling the scattering angle from a phase function in Monte Carlo simulations of light propagation are available only for a limited number of phase functions. Consequently, numerical sampling methods based on tabulated values are often required instead. By using Monte Carlo simulated reflectance, we compare two existing and propose an improved numerical sampling method and show that both the number of the tabulated values and the numerical sampling method significantly influence the accuracy of the simulated reflectance. The provided results and guidelines should serve as a good starting point for conducting computationally efficient Monte Carlo simulations with numerical phase function sampling.

Keywords:  (170.3660) Light propagation in tissues; (170.5280) Photon migration; (170.7050) Turbid media

Year:  2017        PMID: 28663872      PMCID: PMC5480587          DOI: 10.1364/BOE.8.001895

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


  22 in total

1.  In vivo endoscopic tissue diagnostics based on spectroscopic absorption, scattering, and phase function properties.

Authors:  Philippe Thueler; Igor Charvet; Frederic Bevilacqua; M St Ghislain; G Ory; Pierre Marquet; Paolo Meda; Ben Vermeulen; Christian Depeursinge
Journal:  J Biomed Opt       Date:  2003-07       Impact factor: 3.170

2.  Use of tabulated cumulative density functions to generate pseudorandom numbers obeying specific distributions for Monte Carlo simulations.

Authors:  J R Zijp; J J Bosch
Journal:  Appl Opt       Date:  1994-01-20       Impact factor: 1.980

3.  Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm.

Authors:  Andrew J Radosevich; Adam Eshein; The-Quyen Nguyen; Vadim Backman
Journal:  J Biomed Opt       Date:  2015       Impact factor: 3.170

4.  Optical phantoms with adjustable subdiffusive scattering parameters.

Authors:  Philipp Krauter; Steffen Nothelfer; Nico Bodenschatz; Emanuel Simon; Sabrina Stocker; Florian Foschum; Alwin Kienle
Journal:  J Biomed Opt       Date:  2015-10       Impact factor: 3.170

5.  Optical scattering properties of soft tissue: a discrete particle model.

Authors:  J M Schmitt; G Kumar
Journal:  Appl Opt       Date:  1998-05-01       Impact factor: 1.980

6.  Influence of the scattering phase function on light transport measurements in turbid media performed with small source-detector separations.

Authors:  J R Mourant; J Boyer; A H Hielscher; I J Bigio
Journal:  Opt Lett       Date:  1996-04-01       Impact factor: 3.776

Review 7.  Influence of the phase function in generalized diffuse reflectance models: review of current formalisms and novel observations.

Authors:  Katherine W Calabro; Irving J Bigio
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

8.  Quantifying phase function influence in subdiffusively backscattered light.

Authors:  Nico Bodenschatz; Philipp Krauter; André Liemert; Alwin Kienle
Journal:  J Biomed Opt       Date:  2016-03       Impact factor: 3.170

9.  In vivo quantification of the scattering properties of tissue using multi-diameter single fiber reflectance spectroscopy.

Authors:  F van Leeuwen-van Zaane; U A Gamm; P B A A van Driel; T J A Snoeks; H S de Bruijn; A van der Ploeg-van den Heuvel; I M Mol; C W G M Löwik; H J C M Sterenborg; A Amelink; D J Robinson
Journal:  Biomed Opt Express       Date:  2013-04-09       Impact factor: 3.732

10.  Scattering phase function spectrum makes reflectance spectrum measured from Intralipid phantoms and tissue sensitive to the device detection geometry.

Authors:  S C Kanick; V Krishnaswamy; U A Gamm; H J C M Sterenborg; D J Robinson; A Amelink; B W Pogue
Journal:  Biomed Opt Express       Date:  2012-04-24       Impact factor: 3.732

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  3 in total

1.  Phase function estimation from a diffuse optical image via deep learning.

Authors:  Yuxuan Liang; Chuang Niu; Chen Wei; Shenghan Ren; Wenxiang Cong; Ge Wang
Journal:  Phys Med Biol       Date:  2022-03-25       Impact factor: 4.174

2.  MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package.

Authors:  Miran Bürmen; Franjo Pernuš; Peter Naglič
Journal:  J Biomed Opt       Date:  2022-04       Impact factor: 3.758

3.  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

  3 in total

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