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The early detection of breast cancer is very important. The final goal of this study is to develop an inexpensive portable device for simply detecting the existence of breast cancer using microwaves. In this study, we proposed a detection algorithm and the system configuration of such a device. The feasibility of the proposed method was investigated by numerical simulation and actual measurement. A prototype sensing module was fabricated, and the measurement results for tumor phantoms were presented. The measurement results showed that the prototype sensing module worked well, and the simulation results revealed that the detection rate of the device could be about 60% for a 4 mm tumor and almost 100% for a 6 mm tumor. The proposed device can be used for the self-diagnosis of breast cancer. Further study is required to reduce the size of the sensing module.

As a supplement to X-ray mammography, microwave imaging is a new and promising technique for breast cancer detection. Through solving the nonlinear inverse scattering problem, microwave tomography (MT) creates images from measured signals using antennas. In this paper, we describe a developed MT system and an iterative Gauss-Newton algorithm. At each iteration, this algorithm determines the updated values by solving the set of normal equations using Tikhonov regularization. Some examples of successful image reconstruction are presented.

Earlier detection of breast cancer is very important. The objective of this study is to develop an inexpensive portable device for simply detecting the existence of breast cancer using microwave. In this paper, we investigated the feasibility of the proposed method for such device by actual measurement, and analyzed the possible detection rate dependent on the tumor size by numerical simulation. Measurement results show that the proposed method is quite feasible, and the simulation results reveal that the detection rate of such device could be more than 60 % for tumor of 5 mm size. The proposed device can be used for self-diagnosis of breast cancer. Next step of our study will be the realization of a proto-type system.

A transceiver subsystem for microwave breast imaging system was designed and fabricated. The subsystem consists of a transmitter, a receiver and a 16-channel switch matrix module. The subsystem is operated in the frequency from 500 MHz to 3 GHz and has 130 dB dynamic range and 110 dB channel isolation.

In this paper, we proposed a test-bed system that is constructed to detect the breast cancer. Through arbitrary breast model, we proved the performance of the fabricated test-bed system. Through the application of this microwave tomography technology, we will be able to use as the detector of breast cancers in a human body. By further study, the system will be modified and redesigned to be a clinical test-bed system finally.