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学者姓名:汤云东
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针对磁纳米粒子(magnetic nanoparticles,MNPs)建模过于理想化的问题,在肿瘤模型内构建了多种单分散和多分散的MNPs.在此基础上,以MNPs的功耗为输入通过求解生物传热方程来预测模型治疗温度,继而研究了不同分散性MNPs对磁热疗治疗效果的影响差异.此外,考虑一种接近真实的多分散性MNPs模型中构建了基于模糊自适应比例积分微分磁热疗控制系统,该系统能通过温度反馈实时控制磁热疗治疗温度处于临界值46℃,解决了因MNPs分布不均匀性和多分散性导致目标区域局部温度难以稳定在最佳治疗温度46℃的问题.仿真结果表明:在相同的治疗条件下,MNPs粒径集中程度和肿瘤区粒子分布均匀性的提高均可有效地改善治疗效果,而所设计的控制系统能够以较快的速度使最高温度稳定在最优值46℃,显著提高治疗效果.
Keyword :
PID控制 PID控制 温度场 温度场 磁热疗 磁热疗 磁纳米粒子 磁纳米粒子 粒径分布 粒径分布
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GB/T 7714 | 汤云东 , 陈鸣 , 金涛 . 考虑粒子分散性的磁热疗温度分布评估及优化 [J]. | 华中科技大学学报(自然科学版) , 2024 , 52 (03) : 65-71 . |
MLA | 汤云东 等. "考虑粒子分散性的磁热疗温度分布评估及优化" . | 华中科技大学学报(自然科学版) 52 . 03 (2024) : 65-71 . |
APA | 汤云东 , 陈鸣 , 金涛 . 考虑粒子分散性的磁热疗温度分布评估及优化 . | 华中科技大学学报(自然科学版) , 2024 , 52 (03) , 65-71 . |
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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.
Keyword :
Adaptive control systems Adaptive control systems Heat transfer Heat transfer Hyperthermia therapy Hyperthermia therapy Particle size Particle size Particle size analysis Particle size analysis Polydispersity Polydispersity Proportional control systems Proportional control systems Tumors Tumors Two term control systems Two term control systems
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GB/T 7714 | Tang, Yundong , Chen, Ming , Jin, Tao . Evaluation and optimization for temperature distribution in magnetic hyperthermia considering particle dispersion [J]. | Journal of Huazhong University of Science and Technology (Natural Science Edition) , 2024 , 52 (3) : 65-71 . |
MLA | Tang, Yundong 等. "Evaluation and optimization for temperature distribution in magnetic hyperthermia considering particle dispersion" . | Journal of Huazhong University of Science and Technology (Natural Science Edition) 52 . 3 (2024) : 65-71 . |
APA | Tang, Yundong , Chen, Ming , Jin, Tao . Evaluation and optimization for temperature distribution in magnetic hyperthermia considering particle dispersion . | Journal of Huazhong University of Science and Technology (Natural Science Edition) , 2024 , 52 (3) , 65-71 . |
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磁粒子成像(Magnetic Particle Imaging,MPI)是一种利用磁性纳米粒子非线性磁化响应实现高时空分辨率的成像技术,而 MPI图像重建方法则可实现将测量得到的电压分布转换为可视的磁粒子浓度分布 . 现有系统矩阵法可较可靠地实现成像视场中单一浓度磁性颗粒图像重建,而对于不同浓度情况的图像重建则可采用两步正则化算法进行成像. 然而,以往两步正则化算法因重建过程分成两步而增加了重建时长,同时筛选频率分量时通常只考虑了系统矩阵计算的信噪比,而未充分考虑实测电压信号的噪声因素 . 为改善这些问题,本文提出了基于 ESD(Energy Spectral Density)特性和L曲线法优化的改进两步正则化算法,其可根据测量电压信号的ESD特性对频率分量进行降序排列,并根据压缩率筛选频率分量,以选出噪声水平低的频率分量从而减少噪声. 同时,频率分量的减少也可使得 重建时间的有效减少. 此外,正则化过程中利用L曲线法选取最优正则化参数,也可一定程度减少重建过程中产生的噪声 . 仿真实验结果表明本文所提的算法在压缩率为 0.6 的情况下,重建图像质量在 SSIM(Structure Similarity Index Measure)和 NRMSE(Normalized Root Mean Square Error)上相比传统两步正则化算法分别提升了 56.4%和 22.3%,重建时间则缩短了39.8%. 同时,实测结果也表明,本文的算法对于重建质量有所提升. 当压缩率从1减小至0.1的过程中,重建质量无明显变化,但重建时间明显缩短.
Keyword :
Kaczmarz迭代法 Kaczmarz迭代法 L曲线法 L曲线法 Tikhonov正则化 Tikhonov正则化 磁粒子成像 磁粒子成像 能量谱密度 能量谱密度
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GB/T 7714 | 汤云东 , 刘 术 , Rodolfo C. C. Flesch et al. 基于改进两步正则化算法的磁粒子 成像重建方法研究 [J]. | 电子学报 , 2024 . |
MLA | 汤云东 et al. "基于改进两步正则化算法的磁粒子 成像重建方法研究" . | 电子学报 (2024) . |
APA | 汤云东 , 刘 术 , Rodolfo C. C. Flesch , 金 涛 . 基于改进两步正则化算法的磁粒子 成像重建方法研究 . | 电子学报 , 2024 . |
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Magnetic nanofluid hyperthermia (MNH) damages malignant cells by the heat generated by magnetic nanoparticles (MNPs) exposed to an alternating magnetic field during therapy. The key point for magnetic hyperthermia is to maintain the treatment temperature to a safe range for bio-tissue, in which malignant tissue will be damaged due to its higher heat sensitivity but not the healthy tissue. However, the therapeutic system for MNH should be a nonlinear one since the treatment temperature is generally determined by many certain and uncertain factors, which result in the difficulty to modulate the temperature to a specific range in a practical application. This study proposes a control method for an MNH system by introducing a proportional-integral-derivative (PID) control algorithm and dynamically optimizes the PID coefficients for the proposed system by considering simulated annealing (SA) algorithm during therapy. The treatment temperature distribution for bio-tissue is obtained by solving an improved Pennes bio-heat transfer equation using finite element method (FEM). The simulation results demonstrate that the proposed control system can effectively modulate the power dissipation for MNPs and further exactly regulate the transient treatment temperature to an expected value. In addition, this proposed system can also automatically adapt to different cases during therapy, in which the nanofluid concentration distribution inside tumor region changes with nanofluid injection strategy.
Keyword :
Control method Control method magnetic hyperthermia magnetic hyperthermia proportional-integral-derivative (PID) proportional-integral-derivative (PID) simulated annealing (SA) algorithm simulated annealing (SA) algorithm
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GB/T 7714 | Tang, Yundong , Su, Hang , Jin, Tao et al. Adaptive PID Control Approach Considering Simulated Annealing Algorithm for Thermal Damage of Brain Tumor During Magnetic Hyperthermia [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2023 , 72 . |
MLA | Tang, Yundong et al. "Adaptive PID Control Approach Considering Simulated Annealing Algorithm for Thermal Damage of Brain Tumor During Magnetic Hyperthermia" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 72 (2023) . |
APA | Tang, Yundong , Su, Hang , Jin, Tao , Flesch, Rodolfo Cesar Costa . Adaptive PID Control Approach Considering Simulated Annealing Algorithm for Thermal Damage of Brain Tumor During Magnetic Hyperthermia . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2023 , 72 . |
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Although targeted magnetic hyperthermia has been proven to be an effective tumor abla-tion technique, its use in clinical applications is still scarce particularly due to the difficulty in imposing a desired nanofluid distribution in the therapeutic area. In addition to the in-herent difficulty of imposing a distribution with few injection shots, during the nanofluid infusion, the tissue deformation can cause the nanofluid deviation from the targeted injec-tion area and the backflow along the needle can deliver the injected nanofluid to the outer surface of the tissue. Both phenomena can result in an irregular distribution for nanofluid inside bio-tissue. This study develops a poroelastic model considering geometrically non-linear behavior in order to evaluate the effect of syringe needle size and infusion rate on the backflow. A 26 gauge needle for syringe is used as a typical example to further in-vestigate the nanofluid transport and the change of solid matrix material properties under different infusion rates after comparing the infusion results for several sizes of needle. Fi-nally, the resulting nanofluid concentration distribution obtained with the proposed model is used to simulate the temperature distribution and the cancerous cell damage. The results demonstrate that the infusion pressure and its resulting tissue deformation are the funda-mental reasons for obtaining an irregular solution distribution. Tissue deformation induces the increase of porosity and permeability for biomaterials around the tip, and enhances the fluidity of nanofluids inside the tissue. The results also indicate that the increase in backflow length can improve the uniformity of the nanofluid distribution after diffusion and, consequently, the treatment effect. However, it also increases the risk of MNP leakage from the targeted area to the tumor surface, so it is important to keep the backflow rate limited during the injection process.(c) 2022 Elsevier Inc. All rights reserved.
Keyword :
Heat transfer Heat transfer Infusion behavior Infusion behavior Magnetic hyperthermia Magnetic hyperthermia Mass transfer Mass transfer
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GB/T 7714 | Tang, Yundong , Zou, Jian , Flesch, Rodolfo C. C. et al. Backflow modeling in nanofluid infusion and analysis of its effects on heat induced damage during magnetic hyperthermia [J]. | APPLIED MATHEMATICAL MODELLING , 2023 , 114 : 583-600 . |
MLA | Tang, Yundong et al. "Backflow modeling in nanofluid infusion and analysis of its effects on heat induced damage during magnetic hyperthermia" . | APPLIED MATHEMATICAL MODELLING 114 (2023) : 583-600 . |
APA | Tang, Yundong , Zou, Jian , Flesch, Rodolfo C. C. , Jin, Tao . Backflow modeling in nanofluid infusion and analysis of its effects on heat induced damage during magnetic hyperthermia . | APPLIED MATHEMATICAL MODELLING , 2023 , 114 , 583-600 . |
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Thermal damage of malignant tissue is generally determined not only by the characteristics of bio-tissues and nanoparticles but also the nanofluid concentration distributions due to different injection methods during magnetic hyperthermia. The latter has more advantages in improving the therapeutic effect with respect to the former since it is a determining factor for the uniformity of nanofluid concentration distribution inside the tumor region. This study investigates the effect of bio-tissue deformation due to intratumoral injection on the thermal damage behavior and treatment temperature distribution during magnetic hyperthermia, in which both the bio-tissue deformation due to nanofluid injection and the mass diffusion after injection behavior are taken into consideration. The nanofluid flow behavior is illustrated by two different theoretical models in this study, which are Navier-Stokes equation inside syringe needle and modified Darcy's law inside bio-tissue. The diffusion behavior after nanofluid injection is expressed by a modified convection-diffusion equation. A proposed three-dimensional liver model based on the angiographic data is set to be the research object in this study, in which all bio-tissues are assumed to be deformable porous media. Simulation results demonstrate that the injection point for syringe needle can generally achieve the maximum value in the tissue pressure, deformation degree, and interstitial flow velocity during the injection process, all of which then drop sharply with the distance away from the injection center. In addition to the bio-tissue deformation due to injection behavior, the treatment temperature is also highly relevant to determine both the diffusion duration and blood perfusion rate due to the thermal damage during the therapy.
Keyword :
heat transfer heat transfer mass transfer mass transfer thermal apoptosis analysis thermal apoptosis analysis tissue deformation tissue deformation
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GB/T 7714 | Tang, Yundong , Zou, Jian , Flesch, Rodolfo C. C. et al. Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia [J]. | CHINESE PHYSICS B , 2023 , 32 (3) . |
MLA | Tang, Yundong et al. "Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia" . | CHINESE PHYSICS B 32 . 3 (2023) . |
APA | Tang, Yundong , Zou, Jian , Flesch, Rodolfo C. C. , Jin, Tao . Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia . | CHINESE PHYSICS B , 2023 , 32 (3) . |
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Magnetic fluid hyperthermia damages malignant cells by keeping the therapeutic temperature within a specific range after magnetic nanoparticles (MNPs) are exposed to an alternating magnetic field. The temperature distribution inside bio-tissue is usually predicted by a classic Pennes bio-heat transfer equation, which considers a heat source due to a homogeneous distribution for MNPs. Aiming at this problem, this study compares the Pennes model to a porous heat transfer model, named local thermal non-equilibrium equation, by considering an experiment-based MNPs distribution, and evaluates the thermal damage degree for malignant tissue by two different thermal dose methods. In addition, this study evaluates the effect of porosity and different blood perfusion rates on both effective treatment temperature and equivalent thermal dose. Simulation results demonstrate that different bio-heat transfer models can result in significant differences in both the treatment temperature profile and the thermal damage degree for tumor region under the same power dissipation of MNPs. Furthermore, scenarios considering a temperature-dependent blood perfusion rate or a lower porosity can have a positive effect on the temperature distribution inside tumor, while having a lower value in the maximum equivalent thermal dose in both thermal dose evaluation methods.
Keyword :
heat transfer equation heat transfer equation magnetic hyperthermia magnetic hyperthermia nanoparticles distribution nanoparticles distribution therapeutic temperature therapeutic temperature thermal damage degree thermal damage degree
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GB/T 7714 | Tang, Yundong , Wang, Yuesheng , Flesch, Rodolfo C. C. et al. Effect of porous heat transfer model on different equivalent thermal dose methods considering an experiment-based nanoparticle distribution during magnetic hyperthermia [J]. | JOURNAL OF PHYSICS D-APPLIED PHYSICS , 2023 , 56 (14) . |
MLA | Tang, Yundong et al. "Effect of porous heat transfer model on different equivalent thermal dose methods considering an experiment-based nanoparticle distribution during magnetic hyperthermia" . | JOURNAL OF PHYSICS D-APPLIED PHYSICS 56 . 14 (2023) . |
APA | Tang, Yundong , Wang, Yuesheng , Flesch, Rodolfo C. C. , Jin, Tao . Effect of porous heat transfer model on different equivalent thermal dose methods considering an experiment-based nanoparticle distribution during magnetic hyperthermia . | JOURNAL OF PHYSICS D-APPLIED PHYSICS , 2023 , 56 (14) . |
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该文研究了两种常见亥姆霍兹线圈产生磁场的均匀性,并根据装置线圈所产生磁场作用下的生物组织治疗温度分布分析了磁场均匀性对治疗效果的影响.其中,文中的磁纳米粒子(MNPs)以磁流体形式注射进肿瘤区域并假定以注射点为中心呈现高斯分布.该文在多种约束条件下应用改进粒子群算法优化了磁场的频率和强度、磁纳米粒子粒径,以及磁纳米粒子体积分数等参数,而涉及的约束条件包括治疗最高安全温度、治疗磁场安全范围上限、MNPs粒径范围,以及MNPs产热有效条件等.同时,该文以累积等效分钟数来评估圆形和正方形亥姆霍兹线圈及理想磁场在不同血液灌注率下的细胞热损伤程度.研究结果表明,正方形亥姆霍兹线圈相比于圆形线圈能产生更大范围的匀强磁场,这使其磁热疗效果更接近于理想磁场情况.同时,考虑温度依赖的血液灌注率相比定值情况具有更高的治疗温度.
Keyword :
亥姆霍兹线圈 亥姆霍兹线圈 温度场 温度场 磁场 磁场 磁热疗 磁热疗 粒子群优化算法 粒子群优化算法 血液灌注率 血液灌注率
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GB/T 7714 | 汤云东 , 丁宇彬 , 金涛 . 基于亥姆霍兹线圈装置的磁热疗优化方法 [J]. | 电工技术学报 , 2023 , 38 (5) : 1248-1260 . |
MLA | 汤云东 et al. "基于亥姆霍兹线圈装置的磁热疗优化方法" . | 电工技术学报 38 . 5 (2023) : 1248-1260 . |
APA | 汤云东 , 丁宇彬 , 金涛 . 基于亥姆霍兹线圈装置的磁热疗优化方法 . | 电工技术学报 , 2023 , 38 (5) , 1248-1260 . |
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Thermal damage of malignant tissue is generally determined not only by the characteristics of bio-tissues and nanopar-ticles but also the nanofluid concentration distributions due to different injection methods during magnetic hyperthermia.The latter has more advantages in improving the therapeutic effect with respect to the former since it is a determining factor for the uniformity of nanofluid concentration distribution inside the tumor region.This study investigates the effect of bio-tissue deformation due to intratumoral injection on the thermal damage behavior and treatment temperature distribution during magnetic hyperthermia,in which both the bio-tissue deformation due to nanofluid injection and the mass diffusion after injection behavior are taken into consideration.The nanofluid flow behavior is illustrated by two different theoretical models in this study,which are Navier-Stokes equation inside syringe needle and modified Darcy's law inside bio-tissue.The diffusion behavior after nanofluid injection is expressed by a modified convection-diffusion equation.A proposed three-dimensional liver model based on the angiographic data is set to be the research object in this study,in which all bio-tissues are assumed to be deformable porous media.Simulation results demonstrate that the injection point for syringe needle can generally achieve the maximum value in the tissue pressure,deformation degree,and interstitial flow velocity during the injection process,all of which then drop sharply with the distance away from the injection center.In addition to the bio-tissue deformation due to injection behavior,the treatment temperature is also highly relevant to determine both the diffusion duration and blood perfusion rate due to the thermal damage during the therapy.
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GB/T 7714 | Yundong Tang , Jian Zou , Rodolfo C.C.Flesch et al. Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia [J]. | 中国物理B(英文版) , 2023 , 32 (3) : 375-384 . |
MLA | Yundong Tang et al. "Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia" . | 中国物理B(英文版) 32 . 3 (2023) : 375-384 . |
APA | Yundong Tang , Jian Zou , Rodolfo C.C.Flesch , Tao Jin . Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia . | 中国物理B(英文版) , 2023 , 32 (3) , 375-384 . |
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以缠绕着载流线圈的铁氧体磁芯为基础,应用有限元方法分析载流线圈位置对磁场分布的影响,接着采用磁场不均匀性函数结合遗传算法对磁芯气隙内的磁场均匀度进行优化,优化后的磁芯磁场通过顺序耦合方式被进一步应用于磁热疗治疗温度分布分析,采用治疗期间肿瘤区域内的有效治疗温度对肿瘤体积的占比来评估磁热疗治疗效果。研究结果表明:线圈位于气隙两端所产生的磁场优于其位于左端所产生的磁场,与等效磁路分析结果基本一致。本文所提优化方法可使得气隙磁场均匀度显著提高,并使磁热疗肿瘤区域最高治疗温度达到临界值,显著提高治疗效果。
Keyword :
有限元方法 有限元方法 生物传热方程 生物传热方程 磁场 磁场 磁热疗 磁热疗 铁氧体 铁氧体
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GB/T 7714 | 汤云东 , 陈泓霖 , 高跃明 . 铁氧体磁芯磁场分布的优化及其对磁纳米热疗的影响 [J]. | 中南大学学报(自然科学版) , 2023 , 54 (08) : 3079-3089 . |
MLA | 汤云东 et al. "铁氧体磁芯磁场分布的优化及其对磁纳米热疗的影响" . | 中南大学学报(自然科学版) 54 . 08 (2023) : 3079-3089 . |
APA | 汤云东 , 陈泓霖 , 高跃明 . 铁氧体磁芯磁场分布的优化及其对磁纳米热疗的影响 . | 中南大学学报(自然科学版) , 2023 , 54 (08) , 3079-3089 . |
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