FDTD Investigations into UWB Radar Technique of Breast Tumor Detection and Location

In this paper, a finite difference time domain (FDTD) method is applied to investigate capabilities of an ultra-wide band (UWB) radar system to detect and locate a breast tumor. The investigations are divided into three parts. The first part concerns an EM field analysis of a phantom formed by a plastic container with liquid and a small highly reflecting target. In the second part, a three-dimensional numerical breast model is used to perform more advanced studies. In the carried out 3D FDTD simulations, a quasi-plane wave is used as an incident wave. Various time snap shots of the electromagnetic field are recorded to learn about the physical phenomenon of reflection and scattering in different layers of the phantoms. The third part of the investigations concerns a two dimensional (cylindrical) image reconstruction, which is performed by means of 2D FDTD. The obtained results should form the ground for working out suitable guidelines for designing an optimal microwave breast imaging apparatus based on the UWB radar technique.

[1]  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.

[2]  Robert H. Svenson,et al.  Computational modeling of three-dimensional microwave tomography of breast cancer , 2001, IEEE Transactions on Biomedical Engineering.

[3]  Xu Li,et al.  Microwave imaging via space-time beamforming for early detection of breast cancer , 2003 .

[4]  Jean-Pierre Berenger,et al.  A perfectly matched layer for the absorption of electromagnetic waves , 1994 .

[5]  K. Yee Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media , 1966 .

[6]  K. L. Carr,et al.  Microwave radiometry: its importance to the detection of cancer , 1989 .

[7]  K. Mahdjoubi,et al.  A parallel FDTD algorithm using the MPI library , 2001 .

[8]  Ahmed Mamouni,et al.  Microwave radiometric imaging at 3 GHz for the exploration of breast tumors , 1990 .

[9]  Paul M. Meaney,et al.  Microwaves for breast cancer detection , 2003 .

[10]  R. W. Lau,et al.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. , 1996, Physics in medicine and biology.

[11]  B.D. Van Veen,et al.  Ultrawide-band microwave space-time beamforming for hyperthermia treatment of breast cancer: a computational feasibility study , 2004, IEEE Transactions on Microwave Theory and Techniques.

[12]  C Gabriel,et al.  The dielectric properties of biological tissues: I. Literature survey. , 1996, Physics in medicine and biology.

[13]  P. Kosmas,et al.  Time reversal with the FDTD method for microwave breast cancer detection , 2005, IEEE Transactions on Microwave Theory and Techniques.

[14]  A. Cangellaris,et al.  Analysis of the numerical error caused by the stair-stepped approximation of a conducting boundary in FDTD simulations of electromagnetic phenomena , 1991 .

[15]  W. Joines,et al.  The measured electrical properties of normal and malignant human tissues from 50 to 900 MHz. , 1994, Medical physics.

[16]  Wee Chang Khor,et al.  A planar microwave imaging system with step‐frequency synthesized pulse using different calibration methods , 2006 .

[17]  X. Li,et al.  Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions , 2002, IEEE Transactions on Biomedical Engineering.

[18]  Lihong V. Wang,et al.  Microwave-induced acoustic imaging of biological tissues , 1999 .