Evaluation and optimization for temperature distribution in magnetic hyperthermia considering particle dispersion

被引：0
作者：
Tang Y. [1 ]
Chen M. [1 ]
Jin T. [2 ]
机构：
[1] College of Physics and Information Engineering, Fuzhou University, Fuzhou
[2] College of Electrical Engineering and Automation, Fuzhou University, Fuzhou
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2024年 / 52卷 / 03期
关键词：
magnetic hyperthermia; magnetic nanoparticle; particle size distribution; PID (proportional integral derivative) control; temperature field;
D O I：
10.13245/j.hust.240472
中图分类号：
学科分类号：
摘要：
In view of the problem of too idealized modeling for magnetic nanoparticles，a variety of monodisperse and polydisperse magnetic nanoparticles (MNPs) distributions were constructed for a proposed tumor model．On this basis，the treatment temperature for the proposed model was predicted by solving the biological heat transfer equation after taking the power consumption of MNPs as the input，and the therapeutic effect differences due to different dispersed MNPs during magnetic hyperthermia were further investigated． In addition，a fuzzy adaptive proportional-integral-differential control system for magnetic hyperthermia was constructed after considering a more real distribution for polydisperse MNPs． This system can accurately control the treatment temperature within a critical value (46°C) by temperature feedback during magnetic hyperthermia，which solves the problem that the local temperature of target area is difficult to stabilize at the optimal safe treatment temperature due to the inhomogeneous distribution and polydispersity of MNPs．The simulation results demonstrate that the treatment effect can be improved by increasing the aggregation degree of MNPs size and the uniformity of MNPs distribution in the tumor area under the same treatment conditions．Furthermore，the control system proposed can significantly improve the treatment effect by quickly stabilizing the maximum temperature to an optimal value，46°C． © 2024 Huazhong University of Science and Technology. All rights reserved.
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页码：65 / 71
页数：6
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