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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...
Microwave radar imaging for breast cancer detection is one promising technique to replace/supplement X-ray mammography and MRI. Previously developed imaging algorithms have been applied to the signals generated from breast models comprising large dielectric contrast and relatively homogeneous tissue. This study investigates five imaging algorithms applied to the signals generated from more realistic...
We develop a three-dimensional (3-D) microwave imaging technique, which is extended from the forward-backward time-stepping (FBTS) algorithm and the Tikhonov's regularization approach, to determine the sizes and positions of tumors within breast. The effectiveness of reconstructing quantitatively of breast composition using the presented technique is demonstrated by a numerical example based on a...
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...
The losses and random heterogeneity of breast tissue will introduce shift of focal point of flat LHM lens in tissue. Therefore it is highly desired that the sources behind the LHM lenses are set at their right positions. In this paper, the influence of source offset on breast tumor hyperthermia with Γ-shaped LHM lens applicator is investigated by using finite-difference time-domain simulation. It...
A three dimensional (3D) breast model, which contained four different media: skin, fat, tumor, and deionized water (as cooling medium around the breast), was build for finite-difference time-domain (FDTD) computations in this study. The computations of electromagnetic fields and temperature distributions were used FDTD method and finite-difference approximation respectively. The Pennes bioheat equation...
This paper studies the decomposition of the time reversal operator (DORT, by the French acronym) technique for microwave breast lesion classification. We apply the finite-difference time-domain (FDTD) method to a realistic numerical breast phantom where lesion-like targets are artificially introduced, and obtain the multistatic data matrix (MDM) for a particular antenna array configuration. Then,...
This paper illustrates how breast tissue composition, modeled by different mixtures of adipose and glandular tissues, affects the accuracy of microwave breast imaging for different sizes of malignant lesions. To study this, the scattered field for different tissue composition and various tumour sizes was calculated using a Frequency Dependent Finite Difference Time Domain ((FD)2TD) approach. Images...
Ultra-wideband (UWB) microwave imaging is a very promising method for the early breast cancer detection physically based on the large contrast of electromagnetic parameters between the malignant tumor and the normal breast tissues. In this study, the tumor detection in a two dimensional breast model with dispersive characteristic properties of the breast organisms is carried out numerically by the...
Breast cancer is the second leading cause of cancer death after lung cancer among women. The value of advanced imaging platforms such as magnetic resonance imaging (MRI) for early breast cancer detection remains unclear. The paper applies a time reversal beamforming imager for detecting and locating early stage breast cancer tumours from MRI data. In our simulations based on the finite difference,...
In this paper, the robustness of the microwave tomography method for breast cancer imaging based on finite difference time domain (FDTD) and hybrid genetic algorithm (HGA) for different levels of noise is investigated. Results based on the proposed method, using MRI data from an actual patient, are presented. These results indicate the algorithm performs well in the case of simulation measurements...
A study on the Ultra-Wideband (UWB) microwave imaging for detecting the malignant tumor in the human breast is presented. The planer two-dimensional breast model is used to simulate the microwave propagation in the breast by the Finite Difference Time Domain method (FDTD). The confocal algorithm is employed to reconstruct the breast image to show the tumor information involving its size and the location...
We have implemented a new algorithm for the electromagnetic inverse scattering problem in inhomogeneous media using a MATLAB-based finite difference frequency domain (FDFD) forward model. This algorithm, referred to as FDFD-based inverse method, constructs a near-linear expression for inversion from the matrix form of the forward model and uses a vector-based Born approximation without employing an...
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