Development of perturbation Monte Carlo methods for polarized light transport in a discrete particle scattering model
Autor: | Jerome Spanier, Vasan Venugopalan, Carole K. Hayakawa, Jennifer Nguyen, Judith R. Mourant |
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Rok vydání: | 2016 |
Předmět: |
Physics
Photon Scattering Forward scatter ocis:(290.5855) Scattering polarization Monte Carlo method Optical property ocis:(170.6935) Tissue characterization Perturbation (astronomy) 01 natural sciences Atomic and Molecular Physics and Optics Article 030218 nuclear medicine & medical imaging Statistics::Computation ocis:(170.3660) Light propagation in tissues 010309 optics 03 medical and health sciences Wavelength 0302 clinical medicine ocis:(170.6510) Spectroscopy tissue diagnostics 0103 physical sciences Discrete particle Statistical physics Biotechnology ocis:(170.0170) Medical optics and biotechnology |
Zdroj: | Biomedical Optics Express Nguyen, J; Hayakawa, CK; Mourant, JR; Venugopalan, V; & Spanier, J. (2016). Development of perturbation Monte Carlo methods for polarized light transport in a discrete particle scattering model.. Biomedical optics express, 7(5), 2051-2066. doi: 10.1364/BOE.7.002051. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/7xw0g846 |
ISSN: | 2156-7085 |
DOI: | 10.1364/BOE.7.002051. |
Popis: | We present a polarization-sensitive, transport-rigorous perturbation Monte Carlo (pMC) method to model the impact of optical property changes on reflectance measurements within a discrete particle scattering model. The model consists of three log-normally distributed populations of Mie scatterers that approximate biologically relevant cervical tissue properties. Our method provides reflectance estimates for perturbations across wavelength and/or scattering model parameters. We test our pMC model performance by perturbing across number densities and mean particle radii, and compare pMC reflectance estimates with those obtained from conventional Monte Carlo simulations. These tests allow us to explore different factors that control pMC performance and to evaluate the gains in computational efficiency that our pMC method provides. |
Databáze: | OpenAIRE |
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