Weighted Centroid Method for Breast Tumor Localization Using an UWB Radar

This paper studies the potential of ultra-wideband (UWB) microwave imaging for detection and localization of breast cancer in its early stages. A method is proposed for locating tumors which is based on the time-of-∞ight of the signal backscattered at the tumor. Time- of-∞ight is detected using a wavelet transform algorithm. The main contribution of this paper is that it proposes to determine the position of the tumor by using an adapted version of the centroid localization method used in wireless sensor nodes. Its main advantage is that it does not require knowing a priori neither the propagation velocity of the breast nor its dielectric permittivity. The feasibility of the method has been investigated by means of simulated and experimental results with an ultra-wideband radar and a phantom.

[1]  G. Carter,et al.  The generalized correlation method for estimation of time delay , 1976 .

[2]  L. Jofre,et al.  Microwave Diffraction Tomography for Biomedical Applications , 1982 .

[3]  Jaideva C. Goswami,et al.  Fundamentals of wavelets , 1999 .

[4]  Deborah Estrin,et al.  GPS-less low-cost outdoor localization for very small devices , 2000, IEEE Wirel. Commun..

[5]  Paul M. Meaney,et al.  A clinical prototype for active microwave imaging of the breast , 2000 .

[6]  H. J. Li,et al.  APPLICATION OF WAVELET TRANSFORM IN TARGET IDENTIFICATION , 2001 .

[7]  Robert H. Svenson,et al.  Three-dimensional microwave tomography: initial experimental imaging of animals , 2002, IEEE Transactions on Biomedical Engineering.

[8]  A. Stelzer,et al.  Wavelet-based impulse reconstruction in UWB-radar , 2003, IEEE MTT-S International Microwave Symposium Digest, 2003.

[9]  M. Stuchly,et al.  Experimental feasibility study of confocal microwave imaging for breast tumor detection , 2003 .

[10]  D. W. van der Weide,et al.  Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms , 2004, IEEE Transactions on Microwave Theory and Techniques.

[11]  R.J. Fontana,et al.  Recent system applications of short-pulse ultra-wideband (UWB) technology , 2004, IEEE Transactions on Microwave Theory and Techniques.

[12]  E.C. Fear,et al.  Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models , 2005, IEEE Transactions on Microwave Theory and Techniques.

[13]  D. Timmermann,et al.  Indoor Localization with Low Complexity in Wireless Sensor Networks , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[14]  Vinu Thomas,et al.  DIELECTRIC STUDIES OF CORN SYRUP FOR APPLICATIONS IN MICROWAVE BREAST IMAGING , 2006 .

[15]  P. Kosmas,et al.  FDTD-based time reversal for microwave breast cancer Detection-localization in three dimensions , 2006, IEEE Transactions on Microwave Theory and Techniques.

[16]  Atef Z. Elsherbeni,et al.  DETECTION AND LOCALIZATION OF RF RADAR PULSES IN NOISE ENVIRONMENTS USING WAVELET PACKET TRANSFORM AND HIGHER ORDER STATISTICS , 2006 .

[17]  R. Benjamin,et al.  An improved hemispeherical antenna array design for breast imaging , 2007 .

[18]  Yifan Chen,et al.  Pulse Design for Time Reversal Method as Applied to Ultrawideband Microwave Breast Cancer Detection: A Two-Dimensional Analysis , 2007, IEEE Transactions on Antennas and Propagation.

[19]  Barry D. Van Veen,et al.  Estimating the Breast Surface Using UWB Microwave Monostatic Backscatter Measurements , 2008, IEEE Transactions on Biomedical Engineering.

[20]  A. Preece,et al.  Experimental and clinical results of breast cancer detection using UWB microwave radar , 2008, 2008 IEEE Antennas and Propagation Society International Symposium.

[21]  Fan Yang,et al.  Ultra wideband microwave imaging and localization for breast cancer , 2008, 2008 Asia-Pacific Microwave Conference.

[22]  Sinan Gezici,et al.  Ultra-wideband Positioning Systems: Ultra-wideband signals , 2008 .

[23]  Ian J Craddock,et al.  Improved Delay-and-Sum Beamforming Algorithm for Breast Cancer Detection , 2008 .

[24]  David Girbau,et al.  Simulated and Experimental Investigation of Microwave Imaging Using UWB , 2009 .

[25]  David Girbau,et al.  Wavelet-Based Breast Tumor Localization Technique Using a UWB Radar , 2009 .

[26]  David Girbau,et al.  ANALYSIS OF VITAL SIGNS MONITORING USING AN IR-UWB RADAR , 2010 .

[27]  K. Low,et al.  Homogeneous and Heterogeneous Breast Phantoms for Ultra-Wideband Microwave Imaging Applications , 2010 .

[28]  Andrew K. Chan,et al.  Fundamentals of Wavelets: Theory, Algorithms, and Applications , 2011 .