Literature DB >> 26968384

Quantifying phase function influence in subdiffusively backscattered light.

Nico Bodenschatz, Philipp Krauter, André Liemert, Alwin Kienle.   

Abstract

Light backscattering at short source-detector separations is considerably influenced by the scattering phase function of a turbid medium. We seek to more precisely relate a medium's subdiffusive backscattering to the angular scattering characteristics of its microstructure. First, we demonstrate the inability of the scattering asymmetry g1 = < cos θ > to predict phase function influence on backscattering and reveal ambiguities related to the established phase function parameter γ. Through the use of high-order similarity relations, we introduce a new parameter that more accurately relates a scattering phase function to its subdiffusive backscattering intensity. Using extensive analytical forward calculations based on solutions to the radiative transfer equation in the spatial domain and spatial frequency domain, we demonstrate the superiority of our empirically derived quantifier σ over the established parameter γ.

Mesh:

Year:  2016        PMID: 26968384     DOI: 10.1117/1.JBO.21.3.035002

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


  7 in total

1.  Subdiffuse scattering and absorption model for single fiber reflectance spectroscopy.

Authors:  Anouk L Post; Dirk J Faber; Henricus J C M Sterenborg; Ton G van Leeuwen
Journal:  Biomed Opt Express       Date:  2020-10-22       Impact factor: 3.732

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

Authors:  Peter Naglič; Franjo Pernuš; Boštjan Likar; Miran Bürmen
Journal:  Biomed Opt Express       Date:  2017-02-28       Impact factor: 3.732

3.  Virtually increased acceptance angle for efficient estimation of spatially resolved reflectance in the subdiffusive regime: a Monte Carlo study.

Authors:  Matic Ivančič; Peter Naglič; Franjo Pernuš; Boštjan Likar; Miran Bürmen
Journal:  Biomed Opt Express       Date:  2017-10-06       Impact factor: 3.732

4.  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

5.  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

6.  Subdiffuse scattering model for single fiber reflectance spectroscopy.

Authors:  Anouk L Post; Henricus J C M Sterenborg; Fransien G Woltjer; Ton G van Leeuwen; Dirk J Faber
Journal:  J Biomed Opt       Date:  2020-01       Impact factor: 3.170

7.  Structured light imaging for breast-conserving surgery, part II: texture analysis and classification.

Authors:  Samuel S Streeter; Benjamin W Maloney; David M McClatchy; Michael Jermyn; Brian W Pogue; Elizabeth J Rizzo; Wendy A Wells; Keith D Paulsen
Journal:  J Biomed Opt       Date:  2019-09       Impact factor: 3.170

  7 in total

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