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2024 Index IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Vol. 8 电磁学,射频和微波在医学和生物学第8卷
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-11 DOI: 10.1109/JERM.2024.3512633
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引用次数: 0
IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology About this Journal IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology 关于本期刊
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-11-22 DOI: 10.1109/JERM.2024.3496595
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引用次数: 0
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Publication Information IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 出版信息
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-11-22 DOI: 10.1109/JERM.2024.3496599
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引用次数: 0
IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology About this Journal IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology 关于本期刊
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-22 DOI: 10.1109/JERM.2024.3442073
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引用次数: 0
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Publication Information IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 出版信息
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-22 DOI: 10.1109/JERM.2024.3442071
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引用次数: 0
Models of Melanoma Growth for Assessment of Microwave-Based Diagnostic Tools 用于评估微波诊断工具的黑色素瘤生长模型
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-29 DOI: 10.1109/JERM.2024.3430315
Jasmine Boparai;Rachel Tchinov;Oliver Miller;Yanis Jallouli;Milica Popović
Malignant melanoma, the aggressive form of skin cancer, progresses via radial and vertical growth. The aim of this study is to assess the feasibility of microwave-based diagnosis of melanoma at different stages of tumor progression. To this end, we used the physiological data for melanoma progression to develop a theoretical model of melanoma growth, followed by the oil-in-gelatin based tissue phantoms, which aim to mimic the dielectric behavior of the tissues under consideration. The phantoms are then dielectrically characterized using a slim-form open-ended coaxial probe by systematically sampling dielectric values across the mimicked skin surfaces at a range of points over the 0.5 – 26.5 GHz frequency range. The resulting observations revealed that the microwave spectroscopy exhibits the capability not only to distinguish between healthy and malignant skin, but also differentiate between tumors at different stages of vertical growth, which may not be visually discernible from the skin surface. The measured results are compared with the estimated dielectric values of malignant melanoma using Lichteneker's mixing equation obtained from the literature and it was observed that the measured results closely agree with the literature values.
恶性黑色素瘤是一种侵袭性皮肤癌,通过径向和纵向生长发展。本研究旨在评估在肿瘤进展的不同阶段对黑色素瘤进行微波诊断的可行性。为此,我们利用黑色素瘤进展的生理数据,建立了黑色素瘤生长的理论模型,然后制作了基于明胶油的组织模型,旨在模拟所考虑的组织的介电行为。然后,使用细长型开口同轴探针对模型进行介电表征,在 0.5 - 26.5 GHz 频率范围内的一系列点上对模拟皮肤表面的介电值进行系统采样。观察结果表明,微波光谱仪不仅能区分健康皮肤和恶性皮肤,还能区分处于不同垂直生长阶段的肿瘤,而这些肿瘤可能无法从皮肤表面直观地辨别出来。测量结果与从文献中获得的利用 Lichteneker 混合方程估算的恶性黑色素瘤介电值进行了比较,发现测量结果与文献值非常吻合。
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引用次数: 0
A Fast Method to Estimate the SAR Distribution From Temperature Increased Maps 从温度增加图估算合成孔径雷达分布的快速方法
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-02 DOI: 10.1109/JERM.2024.3418716
Giuseppe Carluccio;Sukhoon Oh;Sangwoo Kim;Donghyuk Kim;Karthik Lakshmanan;Christopher M. Collins
Objectives: Estimation of Specific energy Absorption Rate (SAR) is critical to assess RF safety for devices that rely on the transmission of electromagnetic energy, such as cellphones or MRI coils. SAR generates local heat which can damage human tissues and it is usually estimated through numerical simulations. We describe a method to estimate the SAR distribution in phantoms that is fast and not computationally demanding, based on the evaluation of temperature increase maps. Technology or Method: The presented method relies on the inversion of a previously published method to quickly estimate the temperature increase with the knowledge of the SAR distribution and thermal properties. By reversing the process, we can estimate the SAR from temperature increase maps and material thermal properties. To demonstrate the method, we utilize temperature maps measured with MRI-based thermography and compare the estimated SAR maps with those obtained through electromagnetic simulations. We have performed these comparisons with two datasets, one 2D and one 3D, and we have considered the impact of potential sources of errors such as the acquisition time and discontinuities at the interface air/sample. Results: The method can estimate SAR distribution from experimental temperature increase maps within few seconds, and produces SAR distributions similar to those from simulation of the experimental situation. Clinical or Biological Impact: The method we present can quickly estimate SAR distribution to assess RF safety of radiofrequency devices.
目的:估算比能量吸收率(SAR)对于评估依赖电磁能量传输的设备(如手机或核磁共振成像线圈)的射频安全至关重要。SAR 会产生局部热量,对人体组织造成损害,通常通过数值模拟来估算。我们介绍了一种基于温度升高图评估的方法来估算模型中的 SAR 分布,这种方法速度快,计算要求低。技术或方法:所介绍的方法依赖于对之前公布的一种方法进行反演,从而利用 SAR 分布和热特性知识快速估算温升。通过反向过程,我们可以根据温升图和材料热特性估算出 SAR。为了演示这种方法,我们利用基于核磁共振成像的热成像技术测得的温度图,并将估算的 SAR 图与电磁模拟获得的 SAR 图进行比较。我们用两个数据集(一个是二维数据集,一个是三维数据集)进行了比较,并考虑了潜在误差源(如采集时间和空气/样品界面的不连续性)的影响。结果该方法可在几秒钟内根据实验温度升高图估算出 SAR 分布,并得出与模拟实验情况相似的 SAR 分布。临床或生物学影响:我们提出的方法可以快速估算 SAR 分布,以评估射频设备的射频安全性。
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引用次数: 0
Field-Based Discretization of the 3-D Contrast Source Inversion Method Applied to Brain Stroke Microwave Imaging 基于场的三维对比源反演法离散化应用于脑卒中微波成像
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-21 DOI: 10.1109/JERM.2024.3414196
Valeria Mariano;Jorge A. Tobon Vasquez;David O. Rodriguez-Duarte;Francesca Vipiana
The contrast source inversion method is an iterative non-linear algorithm, and, in this paper, it works in combination with a finite element method solver for the reconstruction of the dielectric properties' distribution in the head with the aim to diagnose brain stroke. Here, the involved contrast source variables are discretized through a novel field-based discretization that allows a linear variation of the variables, leading to their more accurate description, and therefore to a final dielectric properties' reconstruction closer to the expected scenario. Moreover, we propose a new approach to compute the imaging algorithm initial guess, based on the truncated singular value decomposition technique, that appears more effective in the case of noisy measured data. Finally, the developed algorithm is applied to sets of data, measured with a microwave imaging system to reconstruct brain stroke scenarios.
对比源反演法是一种迭代非线性算法,在本文中,它与有限元法求解器相结合,用于重建头部介电特性分布,目的是诊断脑中风。在这里,我们通过一种新颖的基于场的离散化方法对所涉及的造影剂源变量进行了离散化处理,这种方法允许变量的线性变化,从而对其进行更精确的描述,因此最终的介电特性重建更接近预期的情况。此外,我们还提出了一种基于截断奇异值分解技术的计算成像算法初始猜测的新方法,这种方法在测量数据有噪声的情况下显得更加有效。最后,我们将所开发的算法应用于使用微波成像系统测量的数据集,以重建脑中风的情况。
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引用次数: 0
Electromagnetic Modeling of the Implantable Electrode for Transfer Function Calibration in MRI RF-Induced Heating Assessment 用于核磁共振成像射频感应加热评估中传递函数校准的植入式电极电磁建模
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-20 DOI: 10.1109/JERM.2024.3414830
Tiangang Long;Changqing Jiang;Luming Li
Radiofrequency-induced heating represents a significant and intricate challenge during the combined use of magnetic resonance imaging and active implantable medical devices. The coupling of the transfer function (TF) determination process and radiofrequency (RF) exposure experiment is a perennial problem in the field. In this study, the tip electrode was separated from the lead and numerically modeled for analysis. The current induced at the electrode in the TF measurement scenario was estimated by analyzing the electromagnetic (EM) fields near the electrode. The magnitude of TF was calibrated according to the estimated current source. The tip response under RF exposure is independently predicted with an error of less than 10% using the obtained scaled TF in simulation studies. Near-electrode EM fields analysis introduces a novel perspective in RF-induced heating evaluation study.
在磁共振成像和有源植入式医疗设备的联合使用过程中,射频引起的加热是一个重大而复杂的挑战。传递函数(TF)确定过程与射频(RF)暴露实验的耦合是该领域长期存在的问题。在本研究中,尖端电极与导线分离,并进行了数值建模分析。通过分析电极附近的电磁(EM)场,估算了在 TF 测量情况下电极上的感应电流。根据估计的电流源校准 TF 的大小。在模拟研究中使用获得的缩放 TF 独立预测射频暴露下的针尖响应,误差小于 10%。近电极电磁场分析为射频诱导加热评估研究引入了一个新的视角。
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引用次数: 0
Numerical Modeling for Shoulder Injury Detection Using Microwave Imaging 利用微波成像检测肩部损伤的数值模型
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-19 DOI: 10.1109/JERM.2024.3411799
Sahar Borzooei;Pierre-Henri Tournier;Victorita Dolean;Christian Pichot;Nadine Joachimowicz;Helene Roussel;Claire Migliaccio
Rotator cuff tear (RCT) is one of the most common shoulder injuries, which can be irreparable if it develops to a severe condition. A portable imaging system for the on-site detection of RCT is necessary to identify its extent for early diagnosis. We introduce a microwave tomography system, using state-of-the-art numerical modeling and parallel computing for detection of RCT. The results show that the proposed method is capable of accurately detecting and localizing this injury in different size. In the next step, an efficient design in terms of computing time and complexity is proposed to detect the variations in the injured model with respect to the healthy model. The method is based on finite element discretization and uses parallel preconditioners from the domain decomposition method to accelerate computations. It is implemented using the open source FreeFEM software.
肩袖撕裂(RCT)是最常见的肩部损伤之一,如果发展到严重程度,将无法挽回。有必要使用便携式成像系统对肩袖撕裂进行现场检测,以确定其程度并进行早期诊断。我们采用最先进的数值建模和并行计算技术,介绍了一种用于检测 RCT 的微波断层成像系统。结果表明,所提出的方法能够准确检测和定位不同大小的损伤。下一步,我们提出了一种计算时间和复杂度方面的高效设计,以检测损伤模型相对于健康模型的变化。该方法基于有限元离散化,并使用域分解法中的并行预处理器来加速计算。该方法使用开源 FreeFEM 软件实现。
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IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology
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