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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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引用次数: 0
Systematic Optimization of Training and Setting of SVM-Based Microwave Stroke Classification: Numerical Simulations for 10 Port System 系统优化基于 SVM 的微波冲程分类的训练和设置:10 端口系统的数值模拟
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-03 DOI: 10.1109/JERM.2024.3404119
Tomas Pokorny;David Vrba;Ondrej Fiser;Marco Salucci;Jan Vrba
The primary objective of this study is to systematically evaluate the performance of the Support Vector Machine (SVM) algorithm, identifying optimal configurations and appropriate parameters for training and testing data, for microwave brain stroke classification. Using experimentally verified 3D numerical models, a large database of synthetic training and test data has been created with different levels of data variability. These models consist of an antenna array surrounding reconfigurable geometrically and dielectrically realistic human head models Within these models, strokes of varying sizes, types, and dielectric parameters are virtually inserted at different positions in brain within the plane of the antennas. Synthetic data sets have been generated to study the impact of reducing training data, data dimensionality, data format, and algorithm settings. The results of this study confirm that Principal Component Analysis (PCA) dimensionality reduction significantly improved the classification accuracy of the SVM algorithm, and datasets of subjects with smaller strokes appeared to be the most suitable for training. Furthermore, datasets that contain the real and imaginary parts of transmission and reflection coefficients result in the highest classification accuracy. For the current antenna array, the best observed setting and scenarios with high variability in training and test data, close to real clinical scenarios, the ability to accurately classify ischemic strokes and suggest safe initiation of thrombotic therapy is approximately 70%.
本研究的主要目的是系统地评估支持向量机(SVM)算法的性能,为微波脑中风分类确定最佳配置以及训练和测试数据的适当参数。利用经过实验验证的三维数字模型,创建了一个具有不同数据变化水平的大型合成训练和测试数据数据库。在这些模型中,不同大小、类型和介电参数的脑卒中被虚拟地插入天线平面内大脑的不同位置。为了研究减少训练数据、数据维度、数据格式和算法设置的影响,我们生成了合成数据集。研究结果证实,主成分分析(PCA)降维显著提高了 SVM 算法的分类准确性,而脑卒中较小的受试者数据集似乎最适合用于训练。此外,包含透射和反射系数实部和虚部的数据集分类准确率最高。对于目前的天线阵列、最佳观察设置以及训练和测试数据变异性较高的场景,接近真实的临床场景,准确分类缺血性脑卒中并建议安全启动血栓治疗的能力约为 70%。
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引用次数: 0
Noncontact Heartbeat and Respiratory Signal Separation Using a Sub 6 GHz SDR Micro-Doppler Radar 使用 6 GHz 以下 SDR 微多普勒雷达进行非接触式心跳和呼吸信号分离
IF 3.2 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-22 DOI: 10.1109/JERM.2024.3378977
Chao Ma;Quan Shi;Bing Hua;Yongwei Zhang;Zhihuo Xu;Liu Chu;Robin Braun;Jiajia Shi
Software-defined radio (SDR) can be used to detect human respiratory and heartbeat signals with the merits of low costs, high flexibility, and fast implementation. This paper proposes a human respiratory heartbeat detection system based on SDR micro-Doppler radar. The system can adjust radar parameters in real-time according to the detection environment, breaking the hardware limitations of traditional radar. Data pre-processing is performed on the transmit and receive baseband signals to obtain a composite signal containing human respiratory and heartbeat signals. In addressing the difficulty of detecting heartbeat signals compared to respiratory signals, an adaptive heartbeat signal enhancement detection algorithm named the one-time differential weighted step-size normalized least mean square (ODWS-NLMS) is proposed. This algorithm enhances the step size through weighted improvements utilizing the first-order differential characteristics of composite signals. Experiments were conducted in three distinct real-world environments, and the results indicate that the proposed algorithm outperforms discrete wavelet transform (DWT) and ensemble empirical mode decomposition (EEMD) in terms of average accuracy, root mean square error (RMSE), and signal-to-noise ratio (SNR).
软件定义无线电(SDR)可用于检测人体呼吸和心跳信号,具有成本低、灵活性高、实施速度快等优点。本文提出了一种基于 SDR 微多普勒雷达的人体呼吸心跳检测系统。该系统可根据检测环境实时调整雷达参数,打破了传统雷达的硬件限制。系统对发射和接收的基带信号进行数据预处理,得到包含人体呼吸和心跳信号的复合信号。针对心跳信号比呼吸信号更难检测的问题,提出了一种自适应心跳信号增强检测算法,名为一次性差分加权步长归一化最小均方(ODWS-NLMS)。该算法利用复合信号的一阶差分特性,通过加权改进来增强步长。实验在三个不同的真实世界环境中进行,结果表明,就平均准确度、均方根误差(RMSE)和信噪比(SNR)而言,所提出的算法优于离散小波变换(DWT)和集合经验模式分解(EEMD)。
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引用次数: 0
Surface Wave and Back Radiation Suppression in Microwave Breast Screening 微波乳腺筛查中的表面波和背辐射抑制
IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-12 DOI: 10.1109/JERM.2024.3385335
Milad Mokhtari;Milica Popović
The challenges in antenna design for microwave-based breast screening systems identify two distinct needs: 1) to minimize the surface-wave propagation at the interface between the substrate and the tissue, and 2) to address the back-radiation. These surface waves become more noticeable within the substrate, particularly when a confining ground plane is present, and yet the ground plane is pivotal for achieving unidirectionality and shielding against environmental radiation. This paper introduces a simplified human breast model and offers a quantitative analysis of existing surface waves. We then propose a 16-antenna array of cavity-backed patch antennas with parasitic elements, designed for operation in the 3.1–5.1 GHz range. Each antenna element is optimized to function seamlessly alongside the breast tissue. Full-wave simulations illustrate that the proposed antenna array achieves superior unidirectionality and diminished mutual coupling levels when compared to its predecessor. We further outline the cost-effective fabrication method that employs the SYLGARD(TM) 184 silicone elastomer PDMS kit. The measurements from the fabricated antenna elements are consistent with the results of the full-wave simulations.
微波乳腺筛查系统的天线设计面临着两个不同的挑战:1) 尽量减少基底和组织界面的表面波传播,以及 2) 解决背辐射问题。这些表面波在基底内会变得更加明显,尤其是当存在限制性地平面时,然而地平面对于实现单向性和屏蔽环境辐射至关重要。本文介绍了一个简化的人体乳房模型,并对现有的表面波进行了定量分析。然后,我们提出了一种带有寄生元件的 16 天线阵列空腔贴片天线,设计工作频率为 3.1-5.1 GHz。每个天线元件都经过优化,可与乳腺组织无缝连接。全波仿真表明,与前代产品相比,拟议的天线阵列实现了出色的单向性,并降低了相互耦合水平。我们进一步概述了采用 SYLGARD(TM) 184 硅弹性体 PDMS 套件的高性价比制造方法。天线元件的测量结果与全波仿真结果一致。
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引用次数: 0
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IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology
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