| Breast cancer is a kind of malignant tumor that is badly imperiling women's health. The early diagnoses and treatment of breast cancer are crucial to improve the survival rate of patients and the quality of their lives, so both the WHO and our government are zealously advocating the screening of it for the women at the right age. As a new method for breast cancer examination, Electrical Impedance Scanning (EIS) has many advantages: non-invasive, real-time imaging, easy operation and low cost. It has been proven that EIS can serve as an adjunct imaging device, especially for early detection of breast cancer.In 2002, the electrical impedance research group in the Biomedical Engineering Department, Fourth Military Medical University, developed the first EIS breast scanner in China—the Angelplan-EIS 1000—and began clinical trial. The performance of Angelplan-EIS 1000 is satisfying and the future of it is promising. Meanwhile, clinical trial brought forward more requirements for this device and it is necessary to begin further research based on existing system. One direction of further research is the solution for pocket EIS device, while another direction is resultful analysis for the EIS data, which may yield more information. This task focuses on these purposes and tried to solve problems through software methods.First of all, in order to realize the software system of pocket EIS device, this task established a whole set of embedded EIS software researching platform, including the embedded operation system, graphical user interface (GUI), application program and device driver. The task also discussed a series of significant questions during the development and evaluated different solutions for the embedded software buildup.Second, this task realized the tumor-depth computing program according to the correlative reference. Then it carried out physical model measurement to verify its effect, and discussed the actual approach, application condition, parameter selection and other practical aspects of this arithmetic, which laid the foundation for its clinical application. Besides, this task tried some methods to analyze the multi-frequency data of EIS measurement and drew several useful conclusions for the coming research.Finally, according to the feedback of practical use, this task improved the software of Angelplan-EIS1000, which endowed it with stronger function, easier operation and more handsome interface. |
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