Additive simulation of Raman light scattering from skin cancer using the Monte Carlo method

Irina A. Matveeva; Oleg O. Myakinin; Yulia A. Khristoforova; Ivan A. Bratchenko; Alexander A. Moryatov; Sergey V. Kozlov; Valery P. Zakharov

doi:10.1117/12.2554904

2 April 2020 Additive simulation of Raman light scattering from skin cancer using the Monte Carlo method

Irina A. Matveeva, Oleg O. Myakinin, Yulia A. Khristoforova, Ivan A. Bratchenko, Alexander A. Moryatov, Sergey V. Kozlov, Valery P. Zakharov

Author Affiliations +

Proceedings Volume 11363, Tissue Optics and Photonics; 113631O (2020) https://doi.org/10.1117/12.2554904
Event: SPIE Photonics Europe, 2020, Online Only

Abstract

In the paper, we introduce an additive simulation approach of Raman light scattering by skin cancer using the Monte Carlo method. Raman light scattering from normal skin and malignant melanoma is investigated. A two-stage algorithm for simulating Raman light scattering from skin based on the known photon transport algorithm has been developed. A method for additive modeling of skin pathologies is proposed. The main idea of this method is a hypothesis that an experimental Raman spectrum of normal skin, obtained by averaging in vivo Raman spectra of normal skin, may be served as a “substrate” for the feature simulated Raman spectrum. Thus, the pathology, for their part, may be “grown” by adding on this “substrate” Raman specific components set related to a tumor type. Additive simulation of malignant melanoma has been carried out. The possibility of using the developed algorithm to determine the component composition of the skin by the in vivo Raman spectrum of skin is discussed. An attempt to evaluate the change in the concentration of skin components during the development of cancer has been made.

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Irina A. Matveeva, Oleg O. Myakinin, Yulia A. Khristoforova, Ivan A. Bratchenko, Alexander A. Moryatov, Sergey V. Kozlov, and Valery P. Zakharov "Additive simulation of Raman light scattering from skin cancer using the Monte Carlo method", Proc. SPIE 11363, Tissue Optics and Photonics, 113631O (2 April 2020); https://doi.org/10.1117/12.2554904

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