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Numerical Modeling of Human Tissues and Scattering Parameters for Microwave Cancer Imaging Systems

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Abstract

In this paper the use of S-parameters (scattering parameters) in the design of microwave Ultra-Wide Band, UWB transceiver system has been investigated. The S-parameters are mainly reflection (S11 or Γ) and transmission coefficients (S12 or Τ). Numerical modeling of them is achieved by means of computational electromagnetic tool called finite difference frequency domain and the sample tissues taken are human breast. The reason for selecting frequency domain simulations is because S-parameters are also analyzed in frequency domain. Numerical modeling helps in simulating the problem much faster than corresponding analytical simulations thus helping in detecting tumors in the tissues quicker. The results are compared with analytical values to find error and accuracy in the numerical computations. Results showed that S11-parameters are very handy for the design of transmitter and receiver filters for a microwave ultra-wide band system and how they can be efficiently used for early detection of cancer (benign or malignant) in normal human tissues for microwave cancer imaging systems. Individuality of this research work is that instead of individual layers analysis (as done in the past) full heterogeneous breast tissue is analytically and numerically modeled here for finding its channel impulse response.

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Authors and Affiliations

  1. High Performance Research Group, Faculty of Engineering Sciences and Technology (FEST), Iqra University, Main Campus, Defence View, Shaheed-e-Millat Road (Ext.), Karachi, 75500, Pakistan

    Ikram E. Khuda & Muhammad Irfan Anis

  2. Sir Syed University of Engineering and Technology, Karachi, Pakistan

    Muhammad Aamir

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  1. Ikram E. Khuda
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  2. Muhammad Irfan Anis
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  3. Muhammad Aamir
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Correspondence to Ikram E. Khuda.

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Khuda, I.E., Anis, M.I. & Aamir, M. Numerical Modeling of Human Tissues and Scattering Parameters for Microwave Cancer Imaging Systems. Wireless Pers Commun 95, 331–351 (2017). https://doi.org/10.1007/s11277-016-3895-3

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  • DOI: https://doi.org/10.1007/s11277-016-3895-3

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