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2020 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)最新文献

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Monitoring regional hyperthermia via microwave imaging: a feasibility study 微波成像监测局部热疗的可行性研究
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9384899
Hana Mozerova, R. Scapaticci, J. Vrba, L. Crocco
In this paper, we present the initial results of a research work aimed at assessing the capabilities of microwave imaging as an effective tool for in-line monitoring of regional hyperthermia treatments. Based on the variation of the electromagnetic properties of tissue due the increase of temperature, it is possible to exploit the processing of the scattered fields gathered during the thermal treatment to track its evolution. The anatomical scenario is the pelvic region and the target of the thermal treatment is the bladder. The first challenge is to verify if and to what extent microwave signals may achieve a sufficient penetration and spatial resolution to pursue the desired task. Based on a simple theoretical analysis, the suitable frequency range and operating conditions are determined and some numerical simulations involving a 2D anthropomorphic phantom are provided to show the potential of microwave imaging to undertake this monitoring task.
在本文中,我们提出了一项研究工作的初步结果,旨在评估微波成像作为局部热疗在线监测的有效工具的能力。基于组织的电磁特性随温度升高而发生的变化,可以利用热处理过程中收集的散射场的处理来跟踪其演变。解剖场景是骨盆区域,热治疗的目标是膀胱。第一个挑战是验证微波信号是否以及在多大程度上可以达到足够的穿透和空间分辨率来执行所需的任务。在简单的理论分析的基础上,确定了合适的频率范围和工作条件,并提供了一些涉及二维拟人体的数值模拟,以展示微波成像承担这一监测任务的潜力。
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引用次数: 1
Microscale Temperature Measurements Within Specific Exposure Systems for Real-Time Cellular Characterization 微尺度温度测量内的具体暴露系统的实时细胞表征
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9384900
A. Nefzi, R. Orlacchio, Lynn Carr, N. Lewis, Y. Percherancier, P. Lévêque, D. Arnaud-Cormos
The precise characterization of electromagnetic fields exposure systems requires accurate dosimetry from macroscale down to the cellular level. In this study, two different exposure devices based on microelectrodes arrays for real-time cellular characterization, namely a Micro-Electrode Array (MEA) and an impedancemetry well with interdigitated electrodes were considered. For the first time, the heating induced by the exposure to radiofrequency in the electrodes vicinity was retrieved from the fluorescence intensity of Rhodamine B (Rhod-B), which linearly changes as a function of the temperature variation. Our results confirm that the use of Rhod-B represents a reliable technique to obtain temperature information at the microscopic scale.
电磁场暴露系统的精确表征需要精确的剂量测定,从宏观尺度到细胞水平。在这项研究中,考虑了两种不同的基于微电极阵列的实时细胞表征暴露装置,即微电极阵列(MEA)和交叉电极的阻抗测量井。首次从罗丹明B (Rhodamine B, Rhod-B)的荧光强度中提取了电极附近射频暴露引起的加热,该荧光强度随温度变化而线性变化。我们的研究结果证实,Rhod-B的使用代表了一种可靠的技术,可以在微观尺度上获得温度信息。
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引用次数: 0
MRSaiFE: Tissue Heating Prediction for MRI: a Feasibility Study MRI组织加热预测:一项可行性研究
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385044
S. Winkler, I. Saniour, Akshay Chaudhari, F. Robb, J. Vaughan
A to-date unsolved and highly limiting safety concern for Ultra High-Field (UHF) magnetic resonance imaging (MRI) is the deposition of radiofrequency (RF) power in the body, quantified by the specific absorption rate (SAR), leading to dangerous tissue heating/damage in the form of local SAR hotspots that cannot currently be measured/monitored, thereby severely limiting the applicability of the technology for clinical practice and in regulatory approval. The goal of this study has been to show proof of concept of an artificial intelligence (AI) based exam-integrated real-time MRI safety prediction software (MRSaiFE) facilitating the safe generation of 3T and 7T images by means of accurate local SAR-monitoring at sub-W/kg levels. We trained the software with a small database of image as a feasibility study and achieved successful proof of concept for both field strengths. SAR patterns were predicted with a residual root mean squared error (RSME) of < 11{%}$ along with a structural similarity (SSIM) level of > 84{%}$ for both field strengths (3T and 7T).
迄今为止,超高场(UHF)磁共振成像(MRI)的一个未解决和高度限制的安全问题是射频(RF)功率在体内的沉积,通过特定吸收率(SAR)来量化,导致危险的组织加热/损伤,以局部SAR热点的形式,目前无法测量/监测,从而严重限制了该技术在临床实践和监管批准中的适用性。本研究的目的是证明一种基于人工智能(AI)的检查集成实时MRI安全预测软件(MRSaiFE)的概念,该软件通过精确的局部sar监测,在低于w /kg的水平下,促进3T和7T图像的安全生成。我们用一个小的图像数据库训练软件作为可行性研究,并成功地证明了两种场强的概念。对于场强(3T和7T), SAR模式预测的残差均方根误差(RSME) < 11{%}$,结构相似性(SSIM)水平> 84{%}$。
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引用次数: 2
Wireless Stress Sensor Based on Magnetoelastic Microwires for Biomedical Applications: detection of collagen concentration 基于磁弹性微丝的生物医学应用无线应力传感器:胶原蛋白浓度的检测
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9384907
P. Marín, Joanatan Borges, P. Gueye, M. Vélez
In recent years, much interest and effort have been devoted to develop soft magnetic materials due to their technological potential [1]. Amorphous microwires are one of the most widely studied soft materials. They are fabricated by means of extracting melt-spinning Taylor technique. Those microwires are composed by a metallic core and a Pyrex cover both in the micrometer range. The ratio between the total diameter and the magnetic core, often called aspect ratio, is one of the key parameters of such microwires, since magnetic properties depend dramatically on it. Many properties of these materials have been deeply studied both from the point of view of the basic physics and the applications. This is the case of the giant magnetoimpedance effect [2], bistability, ferromagnetic resonance [3], and magnetoelastic resonance [4]. It is easy, also, to find much literature regarding microwave-related applications of microwires or microwire-based materials [5]. In the frequency range of GHz, some experimental and theoretical studies of the effect of the magnetization on the scattering properties of a single microwire have been developed [6]. This kind of work gives experimental evidence showing that the microwave scattering by a single microwire depends on the magnetic permeability with sufficient strength to be experimentally detected as an effect of the GMI. This dependence was used to show the potential of such microwire as a wireless field and/or stress sensor. Experimental results are followed by a theoretical approach where the influence of the microwire magnetic state in its microwave reflection features is taken into account. Besides these investigations on magnetic microwires, it should be stated that technological development has spurred the growing interest in the investigation of new biosensors aimed at simplifying present day diagnostic methods and thereby improving medical care, so that it improves the quality of life of the patients and allows for outpatient treatment for a number of pathologies, avoiding unnecessary hospital admissions. Magnetic sensors are at the helm of technological development seen in this field over the last decades, offering numerous advantages attributed to their elevated sensitivity, reduced size, systems without the need for an external source of energy, and wireless connections. The use of wireless sensor network (WSN) technologies offers the possibility of developing implantable biomedical sensors allowing for the monitorization and follow-up of certain physiological parameters with precise and, up until now, unthinkable measurements. The aim of the present work is to show the physical fundamentals and the particular biomedical applications of magnetic microwires as wireless stress sensors. Two main applications will be described. On one side we proposed a flexible magnetic element able to be integrated both in artery and prosthesis suitable for wireless localized blood pressure monitoring. The sensor made of a
近年来,由于软磁材料的技术潜力,人们对软磁材料的开发非常感兴趣和努力[1]。非晶微丝是研究最广泛的软材料之一。它们是用萃取熔融纺丝泰勒技术制备的。这些微线是由金属芯和耐热玻璃盖在微米范围内。总直径与磁芯之间的比率,通常称为长径比,是这类微导线的关键参数之一,因为磁性能在很大程度上取决于它。从基础物理和应用的角度对这些材料的许多性质进行了深入的研究。这就是巨磁阻抗效应[2]、双稳性、铁磁共振[3]和磁弹性共振[4]的情况。也很容易找到很多关于微丝或微丝基材料微波相关应用的文献[5]。在GHz频率范围内,已经开展了一些磁化强度对单根微细线散射特性影响的实验和理论研究[6]。这类工作提供了实验证据,表明单根微线的微波散射依赖于磁导率,其磁导率的强度足以被实验检测到作为GMI的影响。这种依赖关系被用来展示这种微线作为无线场和/或应力传感器的潜力。在实验结果的基础上,提出了一种考虑微线磁态对其微波反射特性影响的理论方法。除了这些关于磁微线的研究之外,应该指出的是,技术发展促使人们越来越有兴趣研究新的生物传感器,旨在简化目前的诊断方法,从而改善医疗保健,从而提高患者的生活质量,并允许对一些病症进行门诊治疗,避免不必要的住院治疗。在过去的几十年里,磁传感器在该领域的技术发展中处于主导地位,具有灵敏度高、尺寸小、系统不需要外部能源和无线连接等诸多优势。无线传感器网络(WSN)技术的使用为开发可植入的生物医学传感器提供了可能性,这种传感器允许对某些生理参数进行精确的监测和跟踪,直到现在,这是不可想象的测量。本工作的目的是展示磁微线作为无线应力传感器的物理基础和特殊的生物医学应用。本文将描述两个主要应用。一方面,我们提出了一种能够集成在动脉和假体中的柔性磁元件,适用于无线定位血压监测。该传感器由一圈玻璃覆盖的磁性微线制成,结构简单,价格低廉,可以通过一个简单的激发和检测装置来检测,该装置可以在低频磁场的作用下同时发射和检测微波。微丝的反射率是由力学变化决定的。在实验研究中,将一段用磁微丝环传感的心血管假体和一段动脉置于模拟人体心血管回路的液压装置中。传感器反射率的变化表明其具有测量电路中压力变化的能力。同样的材料和基础也在同样的实验中被用于无线测定胶原蛋白密度和应力分布,以确定生物反应器上的应力分布。
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引用次数: 1
Time Reversal Microwave Imaging of Realistic Numerical Head Phantom for Bone Flap Healing Follow-up 时间反转微波成像在骨瓣愈合随访中的应用
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385054
Javad Ebrahimizadeh, Alireza Maananejad, S. Sadeghi, R. Karlsson, Bappaditya Mandal, P. Rangaiah, M. Pérez, R. Augustine
This paper presents the feasibility of using a microwave imaging system for monitoring bone mineralization progress overtime after craniotomy surgery. Any variation in the composition of the bone flap can be monitored as a variation in the intensity of the image. A simulation is conducted on a head structure derived from a numerical head phantom based on anatomically realistic MRI–derived FDTD models using commercial CST 2019 software. For simulation, a defect is provided in the skull layer surrounded by a 9–elements antenna. Applying Space-Frequency Time Reversal (TR) method, the image of defect is constructed for different permittivity of the defect ranging from 16 to 36. Results show that the image intensity at the defect location will decrease as the permittivity of the defect decreases.
本文介绍了利用微波成像系统监测颅骨开颅术后骨矿化进展的可行性。骨瓣组成的任何变化都可以作为图像强度的变化来监测。利用商业CST 2019软件,基于解剖学逼真的mri衍生FDTD模型,对基于数值头部幻影的头部结构进行了仿真。为了进行模拟,在颅骨层中提供一个由9元天线包围的缺陷。采用空频时反演(TR)方法,对介电常数范围为16 ~ 36的缺陷进行了图像构造。结果表明,缺陷处的图像强度随着缺陷介电常数的减小而减小。
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引用次数: 1
Obstructive Sleep Apnea (OSA) Events Classification by Effective Radar Cross Section (ERCS) Method Using Microwave Doppler Radar and Machine Learning Classifier 基于微波多普勒雷达和机器学习分类器的有效雷达横截面(ERCS)方法对阻塞性睡眠呼吸暂停(OSA)事件进行分类
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385028
F. Snigdha, S. M. Islam, O. Boric-Lubecke, V. Lubecke
In-home sleep monitoring system using Microwave Doppler radar is gaining attention as it is unobtrusive and noncontact form of measurement. Most of the reported results in literature focused on utilizing radar-reflected signal amplitude to recognize Obstructive sleep apnea (OSA) events which requires iterative analysis and cannot recommend about sleep positions also (supine, prone and side). In this paper, we propose a new, robust and automated ERCS-based (Effective Radar Cross section) method for classifying OSA events (normal, apnea and hypopnea) by integrating radar system in a clinical setup. In our prior attempt, ERCS has been proven versatile method to recognize different sleep postures. We also employed two different machine learning classifiers (K-nearest neighbor (KNN) and Support Vector machine (SVM) to recognize OSA events from radar captured ERCS and breathing rate measurement from five different patients' clinical study. SVM with quadratic kernel outperformed with other classifiers with an accuracy of 96.7 % for recognizing different OSA events. The proposed system has several potential applications in healthcare, continuous monitoring and security/surveillance applications.
基于微波多普勒雷达的家庭睡眠监测系统因其不显眼和非接触式的测量方式而受到人们的关注。大多数文献报道的结果都集中在利用雷达反射信号振幅来识别阻塞性睡眠呼吸暂停(OSA)事件,这需要反复分析,也不能推荐睡眠姿势(仰卧,俯卧和侧卧)。在本文中,我们提出了一种新的、鲁棒的、自动化的基于ercs(有效雷达横截面)的方法,通过在临床设置中集成雷达系统来分类OSA事件(正常、呼吸暂停和低呼吸)。在我们之前的尝试中,ERCS已经被证明是一种通用的方法来识别不同的睡眠姿势。我们还使用了两种不同的机器学习分类器(k -近邻(KNN)和支持向量机(SVM))来识别来自五个不同患者临床研究的雷达捕获的ERCS和呼吸率测量的OSA事件。二次核支持向量机识别不同OSA事件的准确率为96.7%,优于其他分类器。所建议的系统在医疗保健、连续监视和安全/监视应用中有几个潜在的应用。
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引用次数: 7
Home / Committee 主页/委员会
Pub Date : 2020-12-14 DOI: 10.1109/imbioc47321.2020.9385042
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引用次数: 0
Microwave-Based Sensor Dedicated to the Characterization of Meat Freshness 用于肉类新鲜度表征的微波传感器
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385050
Maréva Calvet-Chautard, Patricio Felipe Jaque Gonzalez, T. Véronèse, D. Dubuc, K. Grenier
This paper presents a microwave sensor designed to dielectrically characterize tissues of animal origin (duck in our case) in the frequency range of 0.1 to 6 GHz for meat freshness evaluation. This contact sensor is used as a transmit-and-receive sensor. Its validity is firstly verified with reference liquids. A dielectric characterization is then performed on a duck breast at different maturation days. In each case, repeatability of the measurements was checked. The obtained dielectric response of the duck breast changes over time. This result enables the future use of the sensor and the measurement technique in various applications and for the agroindustry notably for the monitoring of the meat freshness.
本文设计了一种微波传感器,用于在0.1至6 GHz的频率范围内对动物源性组织(以鸭子为例)进行介电表征,用于肉类新鲜度评估。这种接触式传感器用作收发传感器。首先用参比液验证了其有效性。然后在不同成熟天数的鸭胸上进行介电特性分析。在每种情况下,都检查了测量的可重复性。所得鸭胸的介电响应随时间变化。这一结果使传感器和测量技术在各种应用和农业工业的未来使用,特别是用于肉类新鲜度的监测。
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引用次数: 2
Microfluidics-Integrated Microwave Sensors for Single Cells Size Discrimination 用于单细胞尺寸识别的微流体集成微波传感器
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385048
Arda Secme, H. S. Pisheh, H. Uslu, Ozge Akbulut, R. T. Erdogan, M. Hanay
The size of a cell is one of the most fundamental biophysical parameters it possesses. Traditionally size measurements are done by using optical microscopy and quantitative phase imaging. However, a sensor with higher resolution, high throughput and lower cost is still needed. Here, a novel microfluidics-integratedmicrowave sensor is demonstrated to characterize single cells in real-time without labelling. Coplanar waveguide resonator is designed with a bowtie-shaped sensing electrodes separated by $50 mu mathrm{m}$. Cells are transported to sensing region by microfluidic channels and their sizes are measured simultaneously by the microwave sensors and optical microscopy. To enhance the microwave resolution, the microwave resonator is equipped with external heterodyne measurement circuitry detecting each and every cell passing through the sensing region. By comparing quantitative microscopic image analysis with frequency shifts, we show that microwave sensors can effectively measure cellular size. Our results indicate that microfluidics-integrated microwave sensors (MIMS) can be used for detecting.
细胞的大小是它所拥有的最基本的生物物理参数之一。传统的尺寸测量是通过光学显微镜和定量相位成像来完成的。但是,仍然需要一种高分辨率、高吞吐量和低成本的传感器。在这里,一种新型的微流体集成微波传感器被证明可以实时表征单细胞而无需标记。共面波导谐振器采用领结形感应电极,电极间距为$50 mu mathm {m}$。通过微流控通道将细胞输送到传感区域,利用微波传感器和光学显微镜同时测量细胞的大小。为了提高微波分辨率,在微波谐振腔内配置外差测量电路,对通过感应区的每个细胞进行检测。通过与频移的定量显微图像分析比较,我们证明微波传感器可以有效地测量细胞大小。结果表明,微流控集成微波传感器(MIMS)可以用于检测。
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引用次数: 0
Microwave Radar for Breast Health Monitoring: System Performance Protocol 用于乳房健康监测的微波雷达:系统性能协议
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385019
Lena Kranold, Muberra Ozmen, M. Coates, M. Popovic
We here report on a protocol of system performance for the microwave radar breast health monitoring prototype. The device aims to detect breast cancer at an early stage and operates in the multistatic mode with 16 transceiving antennas. After introducing hardware changes, we developed a system performance protocol to repeatably test our system in preparation for clinical trials. It includes repeated scans using breast phantoms, and we investigated if the phantoms can be used without a matching medium not only with an ideally-fitting antenna housing, but also with the prosthetic bra used in clinical trials. We compare the system performance with both antenna housing options and introduce a system performance protocol for the clinical trials.
本文报道了微波雷达乳房健康监测样机的系统性能协议。该装置旨在早期发现乳腺癌,并在多静态模式下工作,有16个收发天线。在引入硬件更改后,我们开发了一个系统性能协议来重复测试我们的系统,为临床试验做准备。它包括使用乳房幻影进行重复扫描,我们研究了在没有匹配介质的情况下,这些幻影是否不仅可以与理想的天线外壳匹配,还可以与临床试验中使用的假体胸罩匹配。我们将系统性能与两种天线外壳选项进行比较,并介绍用于临床试验的系统性能协议。
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引用次数: 1
期刊
2020 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)
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