A Physical and Mathematical Study of Heat Distribution Induced by Radiotherapy in Biological Tissues Using the Bioheat Equation and the Implicit Euler Method

Authors

  • Abtisam Alakrout Department of Physics, Faculty of Sciences, University of Sabratha

DOI:

https://doi.org/10.64095/saj.v2i1.574

Keywords:

Medical physics, Implicit Euler method, Temperature distribution, Radiotherapy

Abstract

This study aims to analyze the spatial and temporal distribution of temperature within biological tissues during radiotherapy by numerically solving the Bioheat Equation using the implicit Euler method. The results demonstrate that this approach provides high numerical stability and effectively suppresses non-physical oscillations, even with relatively large time steps, compared with explicit numerical methods. The model also highlights the significant influence of physiological tissue properties, particularly blood perfusion rate and thermal conductivity, on thermal behavior. Increased blood perfusion enhances heat dissipation and limits temperature elevation, whereas higher absorbed radiation energy leads to a noticeable increase in tissue temperature. The results show a gradual transition toward a quasi-steady thermal state, confirming the accuracy and reliability of the proposed method. The study concludes that the model is an effective tool for thermal dose planning in radiotherapy and for defining safe thermal limits, with the potential to be extended to three-dimensional modeling and to integrate patient-specific data from CT or MRI to support advanced clinical applications in thermal radiotherapy.

References

Pennes, H. H. (1948). Analysis of tissue and arterial blood temperatures in the resting human forearm. Journal of Applied Physiology, 1(2), 93–122.

Morton, K. W., & Mayers, D. F. (2005). Numerical Solution of Partial Differential Equations. Cambridge University Press.

Akulova, D. V. (2024). Mathematical simulation of bio-heat transfer in tissues having five layers in the presence of a tumor zone. Mathematics, 12(5), 676.

Zhang, J., & Chauhan, S. (2019). Real-time computation of bioheat transfer in the fast explicit dynamics finite element algorithm (FED-FEM) framework.

Shah, N. A. (2023). Bioheat transfer with thermal memory and moving line thermal shock. Applied Sciences, 13(8), 629.

Salloum, M., Ghaddar, N., & Ghali, K. (2007). A new transient bioheat model of the human body and its integration to clothing models. International Journal of Thermal Sciences, 46(4), 371–384.

Cheng, W., et al. (2018). Numerical simulation of heat transfer in biological tissues. Physics in Medicine & Biology, 63(10), 105002

Dehghan, M., & Shokri, A. (2020). Radial basis function-generated finite difference scheme for solving brain cancer growth model under radiotherapy. Journal of Biomedical Informatics, 109, 103474.

Bendahmane, M., Ouakrim, Y., Ouzrour, Y., & Zagour, M. (2024). Mathematical analysis of a two-dimensional radiofrequency ablation model in cardiac tissue with L¹ energy dissipation. Moroccan Journal of Pure and Applied Analysis, 10(3), 285–309.

Munafò, C. F., Rogolino, P., & Kovács, R. (2024). Nonlinear thermal analysis of two-dimensional materials with memory. International Journal of Heat and Mass Transfer, 219, 124847.

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Published

11-03-2026

How to Cite

Alakrout, A. (2026). A Physical and Mathematical Study of Heat Distribution Induced by Radiotherapy in Biological Tissues Using the Bioheat Equation and the Implicit Euler Method. Sahel Almarifah Journal for Humanities and Applied Sciences, 2(1), 1–10. https://doi.org/10.64095/saj.v2i1.574