Details
| Translated title of the contribution | Modern approaches to the application of mathematical modeling methods in biomedical research |
|---|---|
| Original language | Russian |
| Pages (from-to) | 218-226 |
| Number of pages | 9 |
| Journal | Scientific and Technical Journal of Information Technologies, Mechanics and Optics |
| Volume | 23 |
| Issue number | 2 |
| Publication status | Published - Mar 2023 |
Abstract
This paper presents a brief overview of the main approaches to mathematical modeling of the interaction of optical radiation with biological tissues. In the case of light propagation in tissue, the Monte Carlo method is an approximation of the solution of the radiation transfer equation. This is done by sampling the set of all possible trajectories of light quanta (photon packets) as they pass through the tissue. Such a stochastic model makes it possible to simulate the propagation of light in a turbid (scattering) medium. The main types of interaction between photons and tissue are considered: scattering, absorption, and reflection/refraction at the boundary of the medium. The algorithm of the method is based on the statistical approximation of the estimated parameters instead of using non-linear functional transformations. Efficient methods for modeling the problem of Raman spectroscopy in turbid media are shown, taking into account the parameters of the detector and the sample size. Two fundamental approaches to the numerical simulation of Raman scattering are considered. Based on data from open literary sources, a variant of modeling Raman scattering in normal multilayer human skin in the near infrared wavelength range is shown. The Raman spectra of ex vivo normal skin tissue sections are presented to quantify various intrinsic micro spectral properties of different skin layers. The reconstructed Raman spectrum of the skin is compared with clinically measured skin spectra in vivo. The overall good agreement between the simulated process and experimental data is shown. The possibility of using the sequential Monte Carlo method for data processing in correlation wide-field optical coherence tomography for the study of biological objects is shown.
Keywords
- absorption, biological tissues, modeling, Monte Carlo method, optical radiation, scattering
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Computer Science(all)
- Information Systems
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
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In: Scientific and Technical Journal of Information Technologies, Mechanics and Optics, Vol. 23, No. 2, 03.2023, p. 218-226.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Современные методы математического моделирования в биомедицинских исследованиях
AU - Krasnikov, Ilya V.
AU - Seteikin, Alexey Yu
AU - Roth, Bernhard
PY - 2023/3
Y1 - 2023/3
N2 - This paper presents a brief overview of the main approaches to mathematical modeling of the interaction of optical radiation with biological tissues. In the case of light propagation in tissue, the Monte Carlo method is an approximation of the solution of the radiation transfer equation. This is done by sampling the set of all possible trajectories of light quanta (photon packets) as they pass through the tissue. Such a stochastic model makes it possible to simulate the propagation of light in a turbid (scattering) medium. The main types of interaction between photons and tissue are considered: scattering, absorption, and reflection/refraction at the boundary of the medium. The algorithm of the method is based on the statistical approximation of the estimated parameters instead of using non-linear functional transformations. Efficient methods for modeling the problem of Raman spectroscopy in turbid media are shown, taking into account the parameters of the detector and the sample size. Two fundamental approaches to the numerical simulation of Raman scattering are considered. Based on data from open literary sources, a variant of modeling Raman scattering in normal multilayer human skin in the near infrared wavelength range is shown. The Raman spectra of ex vivo normal skin tissue sections are presented to quantify various intrinsic micro spectral properties of different skin layers. The reconstructed Raman spectrum of the skin is compared with clinically measured skin spectra in vivo. The overall good agreement between the simulated process and experimental data is shown. The possibility of using the sequential Monte Carlo method for data processing in correlation wide-field optical coherence tomography for the study of biological objects is shown.
AB - This paper presents a brief overview of the main approaches to mathematical modeling of the interaction of optical radiation with biological tissues. In the case of light propagation in tissue, the Monte Carlo method is an approximation of the solution of the radiation transfer equation. This is done by sampling the set of all possible trajectories of light quanta (photon packets) as they pass through the tissue. Such a stochastic model makes it possible to simulate the propagation of light in a turbid (scattering) medium. The main types of interaction between photons and tissue are considered: scattering, absorption, and reflection/refraction at the boundary of the medium. The algorithm of the method is based on the statistical approximation of the estimated parameters instead of using non-linear functional transformations. Efficient methods for modeling the problem of Raman spectroscopy in turbid media are shown, taking into account the parameters of the detector and the sample size. Two fundamental approaches to the numerical simulation of Raman scattering are considered. Based on data from open literary sources, a variant of modeling Raman scattering in normal multilayer human skin in the near infrared wavelength range is shown. The Raman spectra of ex vivo normal skin tissue sections are presented to quantify various intrinsic micro spectral properties of different skin layers. The reconstructed Raman spectrum of the skin is compared with clinically measured skin spectra in vivo. The overall good agreement between the simulated process and experimental data is shown. The possibility of using the sequential Monte Carlo method for data processing in correlation wide-field optical coherence tomography for the study of biological objects is shown.
KW - absorption
KW - biological tissues
KW - modeling
KW - Monte Carlo method
KW - optical radiation
KW - scattering
UR - http://www.scopus.com/inward/record.url?scp=85164769564&partnerID=8YFLogxK
U2 - 10.17586/2226-1494-2023-23-2-218-226
DO - 10.17586/2226-1494-2023-23-2-218-226
M3 - Article
AN - SCOPUS:85164769564
VL - 23
SP - 218
EP - 226
JO - Scientific and Technical Journal of Information Technologies, Mechanics and Optics
JF - Scientific and Technical Journal of Information Technologies, Mechanics and Optics
SN - 2226-1494
IS - 2
ER -