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This paper presents a novel inverse scattering method for biomedical application using microwaves. The method is established based on an evolutionary algorithm-particle swarm optimization method which can achieve accurate results for high dimensional problems. The use of time domain data allows multiple frequency selectivity. 2D FDTD simulations have shown that the method attains super-resolution...
A microwave imaging system for breast cancers using a miniaturized bowtie patch antenna array is presented in this paper. The antenna element was designed with resonant frequency of 2.57 GHz and return loss less than −15 dB. Thirty-six antennas were installed on the walls of the chamber. The back propagation method is used as the imaging algorithm. We demonstrate the capability of the proposed antenna...
A reflectarray antenna combines the advantages of reflectors and phased-arrays. Due to its low profile, low loss, and versatile radiation properties, it has emerged as a new generation of high-gain antennas. Meanwhile, terahertz (THz) technology, which locates between microwave and infrared, is a frontier of the state-of-the-art electromagnetic research. Recently, the concept of reflectarray has been...
The radar based UWB microwave imaging techniques have shown great potential for the localization of embedded dielectric targets in breast phantoms [1], [2]. In practical UWB microwave imaging systems, antennas play a key role in determining the characteristics of the received signals. The antennas behave as spatial-temporal filters as they have to radiate narrow pulses and thus the radiated signal...
In radar based confocal microwave imaging for breast cancer detection, recorded data are synthetically focused to a confocal point within the breast. This is the basis for both data-independent and data adaptive methods to form the breast image and can be enhanced by multistatic approach. This approach inherently assumes that the propagation velocity depends only on the average dielectric property...
We use time reversal microwave imaging to detect and classify benign and malignant breast cancer lesions in numerical phantoms. We employed Time Reversal MUSIC (TR MUSIC) method to detect breast tumors in the presence of adipose and fibroglandular breast tissues. The classification of tumors is made based on the analysis of singular values of the multistatic matrix. We consider two different bands...
This paper proposes a method that combines a data-independent beamformer with Matrix Pencil (MP) method to take into consideration the morphological properties of the malignant tissue. The simulated results have shown the resonant frequency and damping factor of complex natural resonance (CNR) are capable of differentiating the malignant tissue from other significant interferers such as benign lesions...
Radar based microwave imaging technique has great potential for breast cancer detection. It has been demonstrated by recent experiments that the data adaptive radar microwave imaging reveals good image resolution. However, purely scattered energy based image reconstruction methods can face major challenges in differentiation since the fibroconnective and glandular tissues which could have similar...
This paper addresses the early detection of malignant breast tissues using microwave imaging. The breast contains fibroconnective, glandular and benign tissues whose dielectric properties can be very close to those of malignant tissues. Thus it becomes difficult to differentiate the malignancy using conventional microwave imaging approaches. Here, we investigate RCB and DAS methods coupled with Matrix...
In this paper, a novel microwave image reconstruction method is proposed for 3-dimensional confocal microwave imaging (CMI) technique for breast cancer detection. It improves the traditional delay-and-sum (DAS) method leading to reduction of clutter response from the reconstructed image. For CMI method, the location information of significant scatterers such as malignant tissues is hidden in the backscattered...
In this paper, we propose an UWB based multi static imaging technique which seeks to produce images and localize malignant breast tissues by processing the backscattered ultra-wideband (UWB) signals from numerical models of both tumor and normal breast tissues. We demonstrate that standard capon beamforming (SCB) combined with time-of-arrival (TOA) could give some reasonable results for imaging and...
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