UWB-OFDM System Model for Breast Cancer Detection

Juan Pablo Rivelli Malcó, David Zabala-Blanco, Roberto Ahumada-García, J. Datta, I. Soto, A. D. Firoozabadi
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Abstract

This research paper proposes a communication system that can be applied in diagnosis through medical imaging. The objective is to spot abnormalities in breasts with a high level of precision, allowing for diagnostics in the early stages of potential breast cancer. The system was theoretically modeled and simulated with the help of computational calculations. This solution gathers characteristics from different technologies and standards that were combined to model an efficient system which meets the necessary requirements and functions for a feasible and viable proposal for its future implementation. The main contribution of this work is identified in the experimental results through the application of the finite difference method in the time domain (FDTD) where it is shown how a malignant tissue (tumor) reflects to a greater extent the expenditure that falls on said region in compared to healthy tissue made up of fibrous tissue, connective, glandular and adipose tissue. It is also important to highlight the spectral and energy efficiency of OFDM systems, characteristics that directly affect the quality level of the systems. Finally, a simulation of the image formation is performed using an innovative method of spatial filtering under the concept of beamforming.
乳腺癌检测的UWB-OFDM系统模型
本研究提出一种可应用于医学影像诊断的通讯系统。目的是以高精确度发现乳房异常,从而在潜在乳腺癌的早期阶段进行诊断。对系统进行了理论建模,并进行了计算仿真。该解决方案收集了来自不同技术和标准的特征,这些特征被组合在一起,以建立一个有效的系统模型,该系统满足必要的需求和功能,为其未来的实施提供可行和可行的建议。这项工作的主要贡献是通过在时域(FDTD)中应用有限差分方法在实验结果中确定的,其中显示了与由纤维组织、结缔组织、腺体和脂肪组织组成的健康组织相比,恶性组织(肿瘤)如何在更大程度上反映落在上述区域的支出。强调OFDM系统的频谱和能量效率也很重要,这些特性直接影响系统的质量水平。最后,在波束形成的概念下,采用一种创新的空间滤波方法对图像形成进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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