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

Main Article Content

Hua Wang
Marek E. Bialkowski
Feng Liu
Stuart Crozier

Abstract

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.

Article Details

Section
BioInformatics and e-Technologies
Author Biographies

Hua Wang, ITEE, University of Queensland

Hua Wang received the B.E. degree of Computer Science and Technology in Nanjing University of Aeronautics and Astronautics, China in 2003. He is currently a PhD candidate in the School of Information Technology and Electrical Engineering, University of Queensland, Australia. His research interests include numerical modeling of electromagnetic models, parallel computing, and AI optimization algorithms.

Marek E. Bialkowski, ITEE, University of Queensland

Marek E. Bialkowski (SM’88–F’03) was born in Sochaczew, Poland. He received the M.Eng.Sc. degree (1974) in applied mathematics and the Ph.D degree (1979) in electrical engineering both from the Warsaw University of Technology and a higher doctorate (D.Sc. Eng.) in computer science and electrical engineering from the University of Queensland (2000). He held teaching and research appointments at universities in Poland, Ireland, Australia, UK, Canada, Singapore, Hong Kong and Switzerland. At present he is a Professor in the School of Information Technology and Electrical Engineering at the University of Queensland. His research interests include antennas for mobile cellular and satellite communications, signal processing techniques for smart antennas, low profile antennas for reception of satellite broadcast TV programs, near-field/far-field antenna measurements, electromagnetic modelling of waveguide feeds and transitions, conventional and spatial power combining techniques, six-port vector network analysers, and medical and industrial applications of microwaves. He has published over 400 technical papers, several book chapters and one book. Prof. Bialkowski was a Corecipient of a 2000 Harold A. Wheeler Applications Prize Honorable Mention for a paper published in the IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION in 1999. In 2002, he was elected an IEEE Fellow for contributions to the modeling, design, and testing of microwave guiding and radiating structures.

Feng Liu, ITEE, University of Queensland

Feng Liu received the Ph.D. degree in biomedical engineering from Zhejiang University in 2000. He is currently working with The School of Information Technology and Electrical Engineering, University of Queensland, as a Senior Research Fellow. He has pubished about 80 journal articles and conference papers. His research interests include magnetic resonance engineering, bioelectromagnetism and biomechanics.

Stuart Crozier, ITEE, University of Queensland

Stuart Crozier (M'93) received the Ph.D. and D.Eng degrees from the University of Queensland, Australia in 1991 and 2002 respectively. He currently holds the position of Professor of Biomedical Engineering in The School of Information Technology and Electrical Engineering. He has published over 110 journal articles and has numerous patents. His research interests include Magnetic Resonance Engineering, bioelectromagnetics and physiological signal measurement and analysis.