Signal Modeling with Noise Effects for Confocal Microwave Imaging

S. Baang, J.D. Kim, Y.-U. Lee, and C.Y. Park (Korea)


Confocal microwave imaging, signal modeling, noise, breast cancer, tumor, radar.


The microwave breast tumor detection method uses the electrical property contrast between normal tissues and malignancies to detect the latter in an early development stage. However, previous works on the microwave imaging have been relied on complicated models of the breast and electromagnetic wave propagation. We present a computationally efficient and physically instructive electromagnetic wave channel modeling for confocal microwave imaging system for the breast tumor detection. The proposed model covers the propagation factors that have been examined in the previous 2-D models, such as the radial spreading, path loss, partial reflection and transmission of the backscattered electromagnetic wave from the tumor cell. The characteristics of the reconstructed images of the tumor using the proposed model are compared with them of the 2-D FDTD method. Even though certain previous 2-D models developed to utilize the MRI-derived discretized cell model to simulate a realistic perturbation, there has been lack of consideration on the noise effect to the system, which can be detrimental to the reconstruction of the tumor. The effects of the system noise, which include the Gaussian type noise and more realistic type of noise model, to the reconstruction algorithm will be addressed.

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