STUDY OF MICROWAVE IMAGING TECHNIQUE FOR EARLY BREAST CANCER DETECTION

Abstract

Worldwide, breast cancer is a severe health problem that affects women, and early detection is crucial for successful treatment and improved results. The most widely used diagnostic technique for detecting breast cancer is mammography. However, there are some negative aspects to this approach, such as discomfort, radiation exposure, and the possibility of false-positive results. As a result, researchers are examining novel methods for detecting breast cancer, including microwave imaging (MWI). In this study, we proposed a novel MWI based method for detecting breast cancer at an early stage. We developed a uniplanar elliptical antenna with a frequency range of 1-4 GHz and a bandwidth of 1.9 GHz to improve the sensitivity and accuracy of the MWI system. This antenna is perfect for diagnosing breast cancer because of its broad frequency range and excellent resolution, which enable it to differentiate between benign and cancerous tissue. We also developed a breast phantom with electrical properties that are comparable to those of a human in order to assess the effectiveness of the MWI system. We may develop probable scenarios and evaluate the performance of the MWI system using the breast phantom, which precisely mimics the dielectric properties of genuine breast tissue. To evaluate the MWI system's effectiveness, we conducted thorough tests of tumor identification utilizing single and multiple antennas. The tumour was located using the A-scan method, which involves transmitting and receiving microwave signals via the breast tissue. It was clear from a comparison of the results with and without the tumour that the MWI approach could detect breast cancer at an early stage. Overall, our results suggest that MWI may be a valuable tool for early detection of breast cancer. Using the recommended antenna design and breast phantom, the MWI system may be further improved to improve its sensitivity and accuracy for the diagnosis of breast cancer. This research has important implications for improving breast cancer diagnosis and therapeutic efficacy, which will ultimately lead to better patient outcomes and survival rates.