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

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.

[1]  Graeme W. Milton,et al.  Bounds on the complex permittivity of a two‐component composite material , 1981 .

[2]  Jian Li,et al.  Multistatic Adaptive Microwave Imaging for Early Breast Cancer Detection , 2006, IEEE Transactions on Biomedical Engineering.

[3]  Mahta Moghaddam,et al.  Electromagnetic scattering from a buried cylinder in layered media with rough interfaces , 2006 .

[4]  Michael Brady,et al.  Towards a more realistic biomechanical modelling of breast malignant tumours , 2012, Physics in medicine and biology.

[5]  M. O’Halloran,et al.  Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification , 2011 .

[6]  Pérez Cesaretti,et al.  General effective medium model for the complex permittivity extraction with an open-ended coaxial probe in presence of a multilayer material under test , 2012 .

[7]  T. P. Ketterl,et al.  In vivo wireless communication channels , 2012, WAMICON 2012 IEEE Wireless & Microwave Technology Conference.

[8]  Martin Glavin,et al.  FDTD modeling of the breast: A review , 2009 .

[9]  U. V. Riasniy,et al.  Measurement of S-parameters of microwave multiport network , 1999, Proceedings of the IEEE - Russia Conference. 1999 High Power Microwave Electronics: Measurements, Identification, Applications. MIA-ME'99 (Cat. No.99EX289).

[10]  Milica Popovic,et al.  An experimental system for time-domain microwave breast imaging , 2011, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP).

[11]  Milica Popovic,et al.  Experimental Demonstration of Pulse Shaping for Time-Domain Microwave Breast Imaging , 2013 .

[12]  Gabriela Studer,et al.  Dysphagia in head and neck cancer patients following intensity modulated radiotherapy (IMRT) , 2011, Radiation oncology.

[13]  Thomas Rylander,et al.  Computational Electromagnetics , 2005, Electronics, Power Electronics, Optoelectronics, Microwaves, Electromagnetics, and Radar.

[14]  A. Kaur,et al.  An ultrasonographic evaluation of skin thickness in breast cancer patients after postmastectomy radiation therapy , 2011, Radiation oncology.

[15]  I. Y. Rozhnovskaya,et al.  Description of radio channel with random polarization structure in terms of matrix of S-parameters , 2012, 2012 International Conference on Mathematical Methods in Electromagnetic Theory.