Additive Approach to Simulation of Malignant Neoplasms Using the Monte Carlo Method

Irina A. Matveeva (Login required)
Samara National Research University, Russia

Oleg O. Myakinin
Samara National Research University, Russia

Vseslav O. Vinokurov
Samara National Research University, Russia

Yulia A. Khristoforova
Samara National Research University, Russia

Ivan A. Bratchenko
Samara National Research University, Russia

Alexander A. Moryatov
Samara State Medical University, Russia

Sergey V. Kozlov
Samara State Medical University, Russia

Valery P. Zakharov
Samara National Research University, Russia

Paper #3383 received 30 Aug 2020; revised manuscript received 15 Sep 2020; accepted for publication 22 Sep 2020; published online 30 Sep 2020.

DOI: 10.18287/JBPE20.06.030302


The paper is devoted to additive simulation of Raman light scattering by skin cancer using the Monte Carlo method. Raman light scattering from normal skin, malignant melanoma and basal cell carcinoma is investigated. Based on the photon transport algorithm proposed by L. Wang and S. L. Jacques, a two-stage algorithm for simulating Raman light scattering from skin 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 on various stages and basal cell carcinoma 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.


additive simulation; basal cell carcinoma; malignant melanoma; Monte Carlo; Raman light scattering; Raman spectroscopy; skin cancer; skin components

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