超宽带微波检测早期乳腺肿瘤三维仿真

超宽带微波成像技术可作为有效的方法用于乳房早期乳腺肿瘤的检测. 该方法基于乳房组织和肿瘤之间较大的电学特性差异的特点进行成像, 能提供足够的分辨率以及足够的穿透深度. 本文采用时域有限差分方法建立超宽带微波信号在三维乳房组织中传播的模型, 并采用单极德拜模型完成了生物组织色散特性的模拟. 利用8发9收的天线阵列实现微波肿瘤探测, 利用共焦成像算法对乳房组织进行图像重构并进行肿瘤定位. 仿真结果显示共焦成像算法能够实现最小直径3 mm的肿瘤的检测, 同时证实了超宽带微波成像技术应用于早期乳腺肿瘤检测的有效性. 关键词： 微波成像 肿瘤检测 时域有限差分 共焦成像算法     

乳腺癌检测的三维微波热声成像技术

提出了三维微波热声成像技术检测早期乳腺肿瘤,成像同时具有高对比度和高分辨率的特点.该技术利用自适应的鲁棒Capon波束成形(RCB)算法进行信号处理和图像重建.基于电磁学和声学时域有限差分(FDTD)法,进行微波热声成像仿真,算例结果证实了该技术用于诊断早期乳腺肿瘤的可行性. 关键词： 乳腺癌检测 微波热声成像 鲁棒的Capon波束成形 时域有限差分     

S波段微波热致超声成像系统研究

微波热致超声成像技术通过向物体发射微波脉冲, 导致物体吸收电磁波温度迅速升高, 产生瞬时压力波, 从而激发产生超声波信号, 通过传感器对产生的超声波信号进行采集并成像, 最终还原了反映物体吸收电磁波能量特性的图像, 由于此方法兼具了微波成像的高对比性和超声成像的高分辨率特点, 理论上验证了热声成像技术对早期乳腺肿瘤检测的可行性. 本实验兼顾系统成像深度和分辨率, 采用S波段的微波脉冲信号源对物体进行辐射, 利用圆形扫描方式对待测物体进行检测, 同时为了更好的验证成像性能, 本实验同时使用了肿瘤仿体及实际生物组织进行成像实验. 通过实验分析, 验证了该系统对肿瘤仿体和生物组织检测的有效性, 以及系统的高分辨率和高对比度特性, 为早期乳房肿瘤检测提供了进一步的理论支撑.     

一种乳腺癌检测的改进微波共焦成像方法

尝试引入因媒质不均匀而产生的折射效应,改进原有算法.共焦过程选用鲁棒的Capon波束成形（RCB）算法.乳房模型选用较为简单的三维（3-D）半球,为了更好地描述人体组织电参数的色散特性,各组织建模为多极柯尔-柯尔（Cole-Cole）媒质.在超宽带（UWB）平面波激励下,利用时域有限差分（FDTD）法模拟电波传播.数值应用中,乳房植入两个半径3 mm球状肿瘤,分别应用原有微波共焦成像方法和改进方法检测乳腺肿瘤.仿真结果对比显示：改进方法在复杂度略微增加的同时,提高了计算精度.     

太赫兹目标RCS缩比测量技术

论述了国外基于微波上倍频、激光下变频、THz时域光谱三种典型太赫兹波目标雷达散射截面(RCS)缩比测试系统的构成、技术特点和应用范围。采用固态器件、基于微波上倍频技术集成研制了宽带太赫兹低频端目标RCS测量系统,采用基于扫频的时域法RCS测量技术和小角度旋转目标雷达合成孔径（ISAR）成像方法对小目标进行了电磁散射特性测量,获取了目标RCS和二维散射成像信息。     

基于交替隐式有限差分法的快速早期乳腺癌时域微波断层成像

采用时域微波断层成像技术进行早期乳腺癌检测能够准确地获得乳房的电参数分布,具有明确的物理解释和医学诊断价值.临床应用讲究即时性,为了提高检测的速度,本文将交替隐式有限差分法应用到乳腺癌检测中,基于正反演时间步进成像算法进行成像分析,结果显示在保证精度的前提下,采用交替隐式有限差分法的成像时间可缩短为传统时域有限差分法的23%,提高了微波断层成像技术的临床可应用性.     

PIN二极管的高功率微波响应

 利用自行编制的半导体器件模拟程序mPND1D(采用时域有限差分方法，求解器件内部载流子所满足的非线性、耦合、刚性方程组)，对PIN二极管微波限幅器在高功率微波激励下的响应进行了计算，比较了不同条件下的计算结果，并对二极管微波响应截止频率作了探讨。计算结果表明:随着激励源幅值的升高，器件截止频率增大；随着脉冲长度减小，器件截止频率降低；随着器件恒定温度值升高，截止频率下降。     

基于宽带立体超透镜的远场超分辨率成像

为突破传统衍射极限实现远场超分辨率成像,提出了一种微波频段宽带立体超透镜用于目标远场超分辨率成像.该透镜可将携带着目标超分辨率信息的凋落波分量转换为传播波分量辐射到远场,进而可在远场接收这些信息并用于超分辨率成像.分别从频域和时域两方面对该透镜的超分辨率特性进行验证.在频域,利用多重信号分类算法对借助于该结构的扩展目标实现了λ/12的远场超分辨率成像,大幅度提升了成像效果.在时域,结合时间反演技术,验证了带宽提升对空间超分辨率聚焦特性带来的明显优势.     

早期乳腺肿瘤的超宽带微波稳健波束形成成像检测系统

提出了一种基于自主设计小型超宽带天线的微波稳健波束形成(RCB)成像肿瘤检测系统.仿真结果表明,该检测系统对肿瘤反射信号有很高的敏感度.在简单平面模型和核磁共振成像图(MRI)导出模型中进行仿真检测实验,并将天线阵列接收信号用RCB算法进行成像处理.从乳房重构图像中能够得到正确的肿瘤位置及大小信息,实现了平面模型中最小直径3 mm和MRI导出模型中最小直径4 mm的肿瘤检测,证实了该检测系统用于早期乳腺肿瘤检测的可行性.     

高功率微波与等离子体相互作用理论和数值研究

研究高功率微波与等离子体的相互作用,对于微波放电和电磁兼容研究均具有重要意义.基于波动方程、等离子体的流体力学方程以及波尔兹曼方程,建立高功率微波脉冲与等离子体相互作用的理论模型,并结合等离子体的特征参数,采用时域有限差分方法分析了等离子体电子密度和高功率微波传输特性的变化.结果表明,由于高功率微波的电子加热作用,等离子体中的非线性效应明显,发生击穿使得等离子体电子密度增大,从而导致微波的反射增强,透过率降低.所提出的模型和相关结果对于高功率微波和电磁脉冲防护具有指导意义.     

A double constrained robust capon beamforming based imaging method for early breast cancer detection

Ultra-wideband （UWB） microwave images are proposed for detecting small malignant breast tumors based on the large contrast of electric parameters between a malignant tumor and normal breast tissue. In this study, an antenna array composed of 9 antennas is applied to the detection. The double constrained robust capon beamforming （DCRCB） algorithm is used for reconstructing the breast image due to its better stability and high signal-to-interference-plus-noise ratio （SINR）. The successful detection of a tumor of 2 mm in diameter shown in the reconstruction demonstrates the robustness of the DCRCB beamforming algorithm. This study verifies the feasibility of detecting small breast tumors by using the DCRCB imaging algorithm.     

A progressive processing method for breast cancer detection via UWB based on an MRI-derived model

Ultra-wideband （UWB） microwave imaging is a promising method for breast cancer detection based on the large contrast of electric parameters between the malignant tumor and its surrounded normal breast organisms. In the case of multiple tumors being present, the conventional imaging approaches may be ineffective to detect all the tumors clearly. In this paper, a progressive processing method is proposed for detecting more than one tumor. The method is divided into three stages： primary detection, refocusing and image optimization. To test the feasibility of the approach, a numerical breast model is developed based on the realistic magnetic resonance image （MRI）. Two tumors are assumed embedded in different positions. Successful detection of a 3.6 mm-diameter tumor at a depth of 42 mm is achieved. The correct information of both tumors is shown in the reconstructed image, suggesting that the progressive processing method is promising for multi-tumor detection.     

Contrast-enhanced microwave imaging of breast tumors: a computational study using 3-D realistic numerical phantoms

The detection of early-stage tumors in the breast by microwave imaging is challenged by both the moderate endogenous dielectric contrast between healthy and malignant glandular tissues and the spatial resolution available from illumination at microwave frequencies. The high endogenous dielectric contrast between adipose and fibroglandular tissue structures increases the difficulty of tumor detection due to the high dynamic range of the contrast function to be imaged and the low level of signal scattered from a tumor relative to the clutter scattered by normal tissue structures. Microwave inverse scattering techniques, used to estimate the complete spatial profile of the dielectric properties within the breast, have the potential to reconstruct both normal and cancerous tissue structures. However, the ill-posedness of the associated inverse problem often limits the frequency of microwave illumination to the UHF band within which early-stage cancers have sub-wavelength dimensions. In this computational study, we examine the reconstruction of small, compact tumors in three-dimensional numerical breast phantoms by a multiple-frequency inverse scattering solution. Computer models are also employed to investigate the use of exogenous contrast agents for enhancing tumor detection. Simulated array measurements are acquired before and after the introduction of the assumed contrast effects for two specific agents currently under consideration for breast imaging: microbubbles and carbon nanotubes. Differential images of the applied contrast demonstrate the potential of the approach for detecting the preferential uptake of contrast agents by malignant tissues.     

Breast disease evaluation with fat-suppressed magnetic resonance imaging.

Thirty patients with a variety of pathologically confirmed malignant and benign pathologic lesions of the breast were evaluated with a spectrally selective fat suppression imaging technique to obtain fat-suppressed images of the breast. The technique, a selective partial inversion-recovery (SPIR) method, demonstrated the architectural relationship of malignant and benign tumors with respect to the normal water-containing elements of the breast. These relationships included signs of advanced malignant disease such as tissue retraction, invasive growth, and multicentricity, which appeared on the fat-suppressed images. Fat-suppressed imaging provided useful information for assessing the breasts of both pre- and postmenopausal women, especially in the latter group, where fatty involution of the breast is common. Microcysts, which are normally not visualized by conventional methods, were demonstrated and associated with patients having confirmed fibrocystic disease of the breast. As expected, the SPIR technique did not improve the ability to distinguish between tissues having similar T1 and T2 relaxation time values, such as malignant tumors and normal breast parenchymal tissues. The technique was able to demonstrate that the intense lipid signal, known to be responsible for obscuring the borders of water-fat interfaces and small tumors, could be eliminated in a variety of pathological settings.     

Analysis of a Microwave Reflection System for Breast Cancer Detection

A method is investigated for early detection of breast cancer through microwave reflection measurement of a bilayered biological tissue. The permittivity difference between the tumor and the normal breast tissue could be detected through microwave reflection measurement. The reflection characteristics of the tumor have been analyzed. Numerical results showed that the reflection coefficient is very sensitive to the tumors.     

脉冲微波辐射场空间分布的热声成像研究

微波热声成像技术具有非侵入式、高对比度、高分辨率和低成本等优点而日益受到重视, 基于以上特点该技术有望发展成为早期乳腺癌常规或者辅助筛查手段. 本文基于脉冲微波热声成像系统, 利用软件仿真和对装有饱和盐水的塑料管阵列进行三维热声成像, 对脉冲微波辐射场的空间分布进行了理论和实验研究, 其中: 塑料管阵列为直径3 mm, 间隔8 mm的9×9方形结构. 仿真和实验结果表明距离天线越远脉冲能量覆盖范围越大, 能被有效成像的塑料管数目越多; 塑料管阵列的热声成像结果为3.1 mm直径, 7.7 mm间距. 本文验证了微波热声成像技术对脉冲微波辐射场空间分布的成像能力, 对解决定量热声成像技术中微波场能量分布不均匀问题的研究具有重要意义.     

2-NBDG Fluorescence Imaging of Hypermetabolic Circulating Tumor Cells in Mouse Xenograft model of Breast Cancer

Objectives

To determine use of 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]-2-deoxy-D-glucose (2-NBDG) as a tracer for detection of hypermetabolic circulating tumor cells (CTC) by fluorescence imaging.

Procedures

Human breast cancer cells were implanted in the mammary gland fat pad of athymic mice to establish orthotopic human breast cancer xenografts as a mouse model of circulating breast cancer cells. Near-infrared fluorescence imaging of the tumor-bearing mice injected with 2-DeoxyGlucosone 750 (2-DG 750) was conducted to assess glucose metabolism of xenograft tumors. Following incubation with fluorescent 2-NBDG, circulating breast cancer cells in the blood samples collected from the tumor-bearing mice were collected by magnetic separation, followed by fluorescence imaging for 2-NBDG uptake by circulating breast cancer cells, and correlation of the number of hypermetabolic circulating breast cancer cells with tumor size at the time when the blood samples were collected.

Results

Human breast cancer xenograft tumors derived from MDA-MB-231, BT474, or SKBR-3 cells were visualized on near-infrared fluorescence imaging of the tumor-bearing mice injected with 2-DG 750. Hypermetabolic circulating breast cancer cells with increased uptake of fluorescent 2-NBDG were detected in the blood samples from tumor-bearing mice and visualized by fluorescence imaging, but not in the blood samples from normal control mice. The number of hypermetabolic circulating breast cancer cells increased along with growth of xenograft tumors, with the number of hypermetabolic circulating breast cancer cells detected in the mice bearing MDA-MB231 xenografts larger than those in the mice bearing BT474 or SKBR-3 xenograft tumors.

Conclusions

Circulating breast cancer cells with increased uptake of fluorescent 2-NBDG were detected in mice bearing human breast cancer xenograft tumors by fluorescence imaging, suggesting clinical use of 2-NBDG as a tracer for fluorescence imaging of hypermetabolic circulating breast cancer cells.