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学者姓名：汤云东
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Abstract ：
磁粒子成像(MPI)利用检测装置感应可视场内不同位置处磁纳米粒子(MNPs)的非线性磁化响应,并基于所获得的检测信号重建MNPs浓度分布.该文基于激励与接收线圈磁场强度对检测信号的影响,论证了X-space和投影重建成像算法中MPI检测装置磁场均匀性的重要性,继而提出一种由具有较高磁场均匀性的正方形亥姆霍兹线圈所构成的改进开放式检测装置.此外,在零磁场点和零磁场线扫描移动两种情况下,基于不同装置下均匀分布MNPs所获得的检测信号,评估了两种传统开放式检测装置和所提改进装置的检测效果.研究结果表明,所提改进开放式装置的检测结果相比两种传统开放式装置显著接近理想情况,进而也证实了检测装置磁场均匀性的重要性.此外,该文还发现在改进装置基础上采用二次谐波检测方法相较于三次谐波检测,可获得更佳的检测效果.
Keyword ：
开放式检测装置 开放式检测装置 检测信号 检测信号 正方形亥姆霍兹线圈 正方形亥姆霍兹线圈 磁场均匀性 磁场均匀性 磁粒子成像 磁粒子成像
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| GB/T 7714 | 汤云东 , 丁宇彬 , 金涛 . 考虑磁场均匀性优化的开放式磁粒子成像检测装置改进方法 [J]. | 电工技术学报 , 2025 , 40 (6) : 1718-1728 . |
| MLA | 汤云东 等. "考虑磁场均匀性优化的开放式磁粒子成像检测装置改进方法" . | 电工技术学报 40 . 6 (2025) : 1718-1728 . |
| APA | 汤云东 , 丁宇彬 , 金涛 . 考虑磁场均匀性优化的开放式磁粒子成像检测装置改进方法 . | 电工技术学报 , 2025 , 40 (6) , 1718-1728 . |
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Although deep convolutional neural network (CNN) has been widely used in the breast cancer detection based on thermal imaging technology, this scenario still did not receive enough attention in the mobile devices with limited resource. In addition, there still exists challenge on how to assist front view thermal imaging by side one during breast cancer detection. This study proposes a multi-input lightweight CNN named Multi-light Net in order to achieve more accurate early detection for breast cancer, which combines the thermal image from multiple perspectives with the lightweight CNN on the basis of model performance and scale. In addition, a new weighted label smoothing regularization (WLSR) is proposed for the Multi-light Net with the purpose of increasing the network's generalization ability and classification accuracy. The experimental results demonstrate that the proposed approach by combining front view with side view can achieve more significant results than the common one using only front view during breast cancer detection, and the proposed Multi-light Net also exhibits an excellent performance with respect to the currently popular lightweight CNN. Furthermore, the proposed WLSR loss function can also lead to both faster convergence rate and more stable training process during network training and ultimately higher diagnostic accuracy for breast cancer.
Keyword ：
Breast cancer Breast cancer CNN CNN Lightweight Lightweight Multi-input Multi-input Thermography Thermography
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| GB/T 7714 | Tang, Yundong , Zhou, Depei , Flesch, Rodolfo C. C. et al. A multi-input lightweight convolutional neural network for breast cancer detection considering infrared thermography [J]. | EXPERT SYSTEMS WITH APPLICATIONS , 2025 , 263 . |
| MLA | Tang, Yundong et al. "A multi-input lightweight convolutional neural network for breast cancer detection considering infrared thermography" . | EXPERT SYSTEMS WITH APPLICATIONS 263 (2025) . |
| APA | Tang, Yundong , Zhou, Depei , Flesch, Rodolfo C. C. , Jin, Tao . A multi-input lightweight convolutional neural network for breast cancer detection considering infrared thermography . | EXPERT SYSTEMS WITH APPLICATIONS , 2025 , 263 . |
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The combination therapy of magnetic hyperthermia and thermosensitive liposomes (TSL) is an emerging and effective cancer treatment method. The heat generation of magnetic nanoparticles (MNPs) due to an external alternating magnetic field can not only directly damage tumor cells, but also serves as a triggering factor for the release of doxorubicin from TSL. The aim of this study is to investigate the effects in the degree of tumor cell damage of two proposed injection strategies that consider intravenous administration. Since both MNPs and TSL enter the tumor region intravenously, this study establishes a biological geometric model based on an experiment-based vascular distribution. Furthermore, this study derives the flow velocity of interstitial fluid after coupling the pressure distribution inside blood vessels and the pressure distribution of interstitial fluid, which then provides the convective velocity for the calculation of subsequent nanoparticle concentration. Different injection strategies for the proposed approach are evaluated by drug delivery result, temperature distribution, and tumor cell damage. Simulation results demonstrate that the proposed delayed injection strategy after optimization can not only result in a wider distribution for MNPs and TSL due to the sufficient diffusion time, but also improves the distribution of the temperature and drug concentration fields for the overall efficacy of combination therapy. © 2024 Chinese Physical Society and IOP Publishing Ltd.
Keyword ：
injection strategy injection strategy intravenous injection intravenous injection magnetic hyperthermia magnetic hyperthermia temperature-sensitive liposomes temperature-sensitive liposomes
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| GB/T 7714 | Zhu, J. , Tang, Y. , Flesch, R.C.C. et al. Effect of different injection strategies considering intravenous injection on combination therapy of magnetic hyperthermia and thermosensitive liposomes [J]. | Chinese Physics B , 2024 , 33 (12) . |
| MLA | Zhu, J. et al. "Effect of different injection strategies considering intravenous injection on combination therapy of magnetic hyperthermia and thermosensitive liposomes" . | Chinese Physics B 33 . 12 (2024) . |
| APA | Zhu, J. , Tang, Y. , Flesch, R.C.C. , Jin, T. . Effect of different injection strategies considering intravenous injection on combination therapy of magnetic hyperthermia and thermosensitive liposomes . | Chinese Physics B , 2024 , 33 (12) . |
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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 et al. "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 et al. "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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Abstract ：
The combination therapy of magnetic hyperthermia and thermosensitive liposomes (TSL) is an emerging and effective cancer treatment method. The heat generation of magnetic nanoparticles (MNPs) due to an external alternating magnetic field can not only directly damage tumor cells, but also serves as a triggering factor for the release of doxorubicin from TSL. The aim of this study is to investigate the effects in the degree of tumor cell damage of two proposed injection strategies that consider intravenous administration. Since both MNPs and TSL enter the tumor region intravenously, this study establishes a biological geometric model based on an experiment-based vascular distribution. Furthermore, this study derives the flow velocity of interstitial fluid after coupling the pressure distribution inside blood vessels and the pressure distribution of interstitial fluid, which then provides the convective velocity for the calculation of subsequent nanoparticle concentration. Different injection strategies for the proposed approach are evaluated by drug delivery result, temperature distribution, and tumor cell damage. Simulation results demonstrate that the proposed delayed injection strategy after optimization can not only result in a wider distribution for MNPs and TSL due to the sufficient diffusion time, but also improves the distribution of the temperature and drug concentration fields for the overall efficacy of combination therapy.
Keyword ：
44.05.+e 44.05.+e 44.10.+i 44.10.+i 87.85.J- 87.85.J- injection strategy injection strategy intravenous injection intravenous injection magnetic hyperthermia magnetic hyperthermia temperature-sensitive liposomes temperature-sensitive liposomes
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| GB/T 7714 | Zhu, Jiajia , Tang, Yundong , Flesch, Rodolfo C. C. et al. Effect of different injection strategies considering intravenous injection on combination therapy of magnetic hyperthermia and thermosensitive liposomes [J]. | CHINESE PHYSICS B , 2024 , 33 (12) . |
| MLA | Zhu, Jiajia et al. "Effect of different injection strategies considering intravenous injection on combination therapy of magnetic hyperthermia and thermosensitive liposomes" . | CHINESE PHYSICS B 33 . 12 (2024) . |
| APA | Zhu, Jiajia , Tang, Yundong , Flesch, Rodolfo C. C. , Jin, Tao . Effect of different injection strategies considering intravenous injection on combination therapy of magnetic hyperthermia and thermosensitive liposomes . | CHINESE PHYSICS B , 2024 , 33 (12) . |
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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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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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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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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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