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Showing 2 results for Simulation

Abbas Majdabadi, Mohammad Abazari,
Volume 4, Issue 3 (9-2013)
Abstract

Background and Aim: Liposuction is one of the most popular procedures for removing unwanted body fat deposits now. The conventional methods for liposuction however have many drawbacks among them is long recovery time, scars, bruising, skin flaccidity and excessive blood loss. Considering the increasing demand for body sculpting, the need to improve these techniques is of vital importance. One of these newly proposed techniques is laser assisted lipolysis. Laser lipolysis is now widely used for body contouring and sculpting. Less trauma, bleeding and pain is among the main advantages of this method.

Methods: Photons propagation and scattering within the biological tissues can effectively investigated by using numerical methods. In this study we used the Monte Carlo simulation method to simulate photons directions, absorption and scattering inside the tissue. This method uses a random number generator for photons creation, moving inside the tissue and termination. In this simulation we considered both the wavelength and fluence variations effects on the photon absorption rate and penetration depth inside the fat tissue.

Results: Our study showed the increasing of penetration depth with decreasing of absorption coefficient. We observed that deepest penetration depth for 920 nm wavelength as it has lowest absorption coefficient. We also concluded that increasing the laser power (increase in fluence of laser) resulted in increasing the penetration depth of laser radiation. Increasing the radius of laser beam (decreasing the fluence) on the other hand resulted in reduction in penetration depth.

Conclusion: Monte Carlo simulation of radiation propagation within the biological tissue has proved to be an efficient method. This method effectively simulates the physical components of laser radiation. Our findings indicate that to have laser lipolysis more efficient and safe, it is essential to choose suitable wavelength.


Sepehr Bazrafkan, Afshan Shirkavand, Elaheh Nahvifard,
Volume 16, Issue 3 (11-2025)
Abstract

Cutaneous warts are among the most common benign skin lesions and, due to their high prevalence, risk of infection, and cosmetic concerns, they remain a frequent focus of clinical attention. Among the available treatment modalities, cryotherapy is widely used as a first-line option owing to its simplicity, low cost, and high success rate. However, the optimal choice of probe temperature and freeze duration still largely relies on clinical experience, and uncertainties in tissue thermal parameters may result in incomplete treatment or unintended damage to surrounding healthy tissue.
In this study, a numerical model was developed to investigate the temperature distribution within human skin during the cryotherapy of warts. The model is based on the radial heat-conduction equation and incorporates temperature-dependent thermophysical properties of human skin as reported by Agafonkina et al. (2021). Simulations were performed for a range of probe surface temperatures between -30 °C and -70 °C, and the temporal evolution of the wart center temperature was examined until it reached the cellular destruction threshold. The results indicate that lowering the probe temperature accelerates the freezing process; however, below approximately -55 °C, this enhancement becomes saturated and the risk of collateral tissue damage increases. Based on the obtained optimization map, the optimal probe temperature was found to lie within the interval -45 to -55 °C, for which the wart core reaches the critical temperature (-20°C) within 5 to 8 seconds. Comparison with clinical data demonstrates that the developed numerical model can serve as an effective tool for predicting and optimizing cryotherapy parameters, thereby improving treatment precision and reducing the likelihood of clinical error.

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