Abstract:
Breast cancer is one of the most often diagnosed cancers among women in the World. Early identification of breast cancer, which has recently gotten a lot of attention in the research community, is crucial for a quick and effective treatment. One of the most promising and appealing screening technologies now under investigation is UWB radar-based microwave imaging for early breast cancer detection. The report presents Confocal Microwave Imaging (CMI) Algorithm for breast cancer diagnosis. The said imaging technique is a simple and effective method for detecting tumors that is used to approximate the tumor's exact depth. The CMI is entirely dependent on illuminating the breast with a UWB pulse from unique antenna distances. The depth of the tumor is estimated using the respective arrival frequency and amplitudes of the backscatter signals. We have applied the Confocal Algorithm to the data obtained by the VNA in form of S11 and the analysis of depth of tumor at different frequencies and at different antenna position is presented. To test the effectiveness of the Confocal Microwave Imaging Algorithm for breast cancer detection, the phantom is developed with unique ingredients and simulated. The tumor at different depths in phantom is then also analyzed using CMI technique. The simulated results are found to be in good agreement with measured one.
