Tumor detection by microwave radar imaging system

In this paper, we describe the design of an ultra wide band (UWB) system for microwave imaging system, using monopole antenna fed by a 50 Ω microstrip line, operating over 1.416 – 9.367 GHz band. To meet the requirements of the specifications of our application, some bandwidth enlargement techniques have been introduced such as: the insertion slots, and the use of partial ground plans. A simple breast and tumor models have been developed and simulated under CST software. Finally, we have implemented the delay and sum Integration algorithm for microwave imaging to detect a small tumor (radius = 5 mm).

[1]  Martin Glavin,et al.  Data Independent Radar Beamforming Algorithms for Breast Cancer Detection , 2010 .

[2]  John Rickard,et al.  Adaptive Detection Algorithms for Multiple-Target Situations , 1977, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Paul M. Meaney,et al.  Conformal microwave imaging for breast cancer detection , 2003 .

[4]  H. M. Finn,et al.  Adaptive detection mode with threshold control as a function of spatially sampled clutter level estimates , 1968 .

[5]  G. Trunk.  Range Resolution of Targets Using Automatic Detectors , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[6]  A. Farina,et al.  Selected list of references on radar signal processing , 2001 .

[7]  Sabira Khatun,et al.  UWB imaging for breast cancer detection using neural network. , 2009 .

[8]  M. Barkat,et al.  Automatic censoring CFAR detector based on ordered data variability for nonhomogeneous environments , 2005 .

[9]  Archana Singh,et al.  UWB Rectangular Ring Microstrip Antenna with Simple Capacitive Feed for Breast Cancer Detection , 2009 .

[10]  S. D. Himonas,et al.  Automatic censored CFAR detection for nonhomogeneous environments , 1992 .

[11]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[12]  Mangilal Agarwal,et al.  Microstrip Antennas for Direct Human Skin Placement for Biomedical Applications , 2010 .

[13]  Hermann Rohling,et al.  Radar CFAR Thresholding in Clutter and Multiple Target Situations , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[14]  A. Taflove,et al.  Two-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: fixed-focus and antenna-array sensors , 1998, IEEE Transactions on Biomedical Engineering.

[15]  V. Hansen,et al.  Detectability Loss Due to "Greatest Of" Selection in a Cell-Averaging CFAR , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Bassem Mahafza,et al.  Radar Systems Analysis and Design Using MATLAB , 2000 .

[17]  P.M. Meaney,et al.  Microwave imaging for tissue assessment: initial evaluation in multitarget tissue-equivalent phantoms , 1996, IEEE Transactions on Biomedical Engineering.

[18]  Paul M. Meaney,et al.  Microwave imaging for neoadjuvant chemotherapy monitoring , 2006, 2006 First European Conference on Antennas and Propagation.

[19]  Gang Wang,et al.  UWB Microwave Imaging for Breast Tumor Detection in Inhomogeneous Tissue , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[20]  Santiago Capdevila Cascante,et al.  UWB High-contrast robust tomographic imaging for medical applications , 2009 .

[21]  Max J. Ammann,et al.  Spline-based geometry for printed monopole antennas , 2007 .

[22]  Chang-Joo Kim,et al.  Generalized OS CFAR detector with noncoherent integration , 1993, Signal Process..

[23]  Steven Ascher.  A survey of tests for exponentiality , 1990 .

[24]  Renbiao Wu,et al.  Time-delay- and time-reversal-based robust capon beamformers for ultrasound imaging , 2005, IEEE Transactions on Medical Imaging.

[25]  Pramod K. Varshney,et al.  Intelligent CFAR processor based on data variability , 2000, IEEE Trans. Aerosp. Electron. Syst..

[26]  Adel Belouchrani,et al.  Automatic Threshold Selection in Os-CFAR Radar Detection Using Information Theoretic Criteria , 2011 .