%0 Electronic Article
%A Nariman Firoozy
%+ ECE, University of Manitoba, Winnipeg, Manitoba, Canada
%A Ahad Tavakoli
%+ Electrical Engineering, Amirkabir University of Technology, Tehran, Tehran, Iran
%K particle swarm optimisation
%K wide-band Gaussian pulses
%K breast tumour location identification
%K iterative evolutionary method
%K three-dimensional scan
%K incident wave
%K inverse scattering approach
%K breast electromagnetic model
%K directional antenna
%K finite-difference time-domain technique
%K breast tumour detection
%K tumour specification
%K cost function
%K differential evolution
%K TM mode
%K chirping technique
%K TE mode
%K breast tumour size identification
%X This study introduces an iterative evolutionary method in detection of breast tumour, identification of its size and location. At primary measurement step, a set of antennas capable of transmitting wide-band Gaussian pulses, generated through the chirping technique, is placed around the breast and total wave received by each directional antenna is recorded in a bistatic manner for every cross section of the breast corresponding to a specific height for a full three-dimensional scan. Each set of data for each cross section is then analysed separately. Measured fields are used in an inverse-scattering problem, where the unknown is the tumour. To solve this problem, the finite-difference time-domain technique produces the total field resulted from the same incident wave as in measurement while illuminating an electromagnetic model of the breast, each time having a new tumour specification as a part of an evolutionary algorithm scheme. A comparison between various generated and measured reference data is repeated to reach a minimum cost function that corresponds to a minimum error in identification. Particle swarm optimisation and differential evolution are the two optimisations, each using all field elements of both TE z and TM z modes to reach convergence. The final results show an accurate identification of the tumour by this method.
%@ 1751-8725
%T Breast tumour identification based on inverse scattering approach
%B IET Microwaves, Antennas & Propagation
%D May 2013
%V 7
%N 7
%P 535-542
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=7o8en8c647sbg.x-iet-live-01content/journals/10.1049/iet-map.2012.0618
%G EN