Yöner Serhat Ilgaz, Özcan Alpay
Institute of Biomedical Engineering, Boğaziçi University, İstanbul 34342, Türkiye.
Department of Biomedical Equipment Technology, Junior College, Acıbadem Mehmet Ali Aydınlar University, İstanbul 34752, Türkiye.
Bioengineering (Basel). 2025 May 4;12(5):490. doi: 10.3390/bioengineering12050490.
Magnetic hyperthermia is a promising cancer treatment technique that relies on Néel and Brownian relaxation mechanisms to heat superparamagnetic nanoparticles injected into tumor sites. Under low-frequency magnetic fields, nanoparticles generate localized heat, inducing controlled thermal damage to cancer cells. However, radio frequency coils used to generate alternating magnetic fields may suffer from excessive heating, leading to efficiency losses and unintended thermal effects on surrounding healthy tissues. This study proposes novel liquid cooling systems, leveraging the skin effect phenomenon, to improve thermal management and reduce coil size. Finite element method-based simulation studies evaluated coil electrical current and temperature distributions under varying applied frequencies, water flow rates, and cooling microchannel dimensions. A dataset of 300 simulation cases was generated to train a Gaussian Process Regression-based machine learning model. The performance index was also developed and modeled using Gaussian Process Regression, enabling rapid performance prediction without requiring extensive numerical studies. Sensitivity analysis and the ReliefF algorithm were applied for a thorough analysis. Simulation results indicate that the proposed novel liquid cooling system demonstrates higher performance compared to conventional systems that utilize direct liquid cooling, offering a computationally efficient method for pre-manufacturing design optimization of radio frequency coil cooling systems in magnetic hyperthermia applications.
磁热疗是一种很有前景的癌症治疗技术，它依靠奈尔弛豫和布朗弛豫机制来加热注入肿瘤部位的超顺磁性纳米颗粒。在低频磁场作用下，纳米颗粒产生局部热量，对癌细胞造成可控的热损伤。然而，用于产生交变磁场的射频线圈可能会出现过热现象，导致效率损失以及对周围健康组织产生意外的热效应。本研究提出了利用趋肤效应现象的新型液体冷却系统，以改善热管理并减小线圈尺寸。基于有限元方法的模拟研究评估了在不同施加频率、水流速率和冷却微通道尺寸下线圈的电流和温度分布。生成了一个包含300个模拟案例的数据集，用于训练基于高斯过程回归的机器学习模型。还使用高斯过程回归对性能指标进行了开发和建模，无需进行大量数值研究就能实现快速性能预测。应用敏感性分析和ReliefF算法进行深入分析。模拟结果表明，与采用直接液体冷却的传统系统相比，所提出的新型液体冷却系统具有更高的性能，为磁热疗应用中的射频线圈冷却系统的预制造设计优化提供了一种计算效率高的方法。
