Application of Delay-and-Multiply Algorithm to Microwave Breast Cancer Detection

• Published in: 2024 4th Asia Conference on Information Engineering (ACIE) pp. 87 - 91
• Main Authors: Guo, Donghao, Liu, Huanqing, Liu, Weihao, Wang, Jingjing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.01.2024
• Subjects: Biological system modeling; Breast cancer; breast cancer detection; Clutter; confocal imaging; Dams; Delays; electromagnetic microwave imaging (EMI); Image resolution; Radar imaging; ultra-wideband radar (UWB)
• DOI: 10.1109/ACIE61839.2024.00021

Currently, confocal microwave imaging algorithms for breast cancer detection mainly include delay and sum algorithm (DAS), and coincidence factor delay multiplication and sum algorithm (CF-DAS). However, these algorithms have obvious weaknesses, including more clutter, and lower resolution making them difficult to use for clinical breast cancer screening. The paper introduces a confocal-based delay-and-multiply (DAM) imaging algorithm. The DAM algorithm time-shifts the scattered signal and multiplies it to obtain a synthetic focus. Where the multiplication step suppresses the generation of clutter in the image and improves the contrast and signal to noise ratio of the image. The DAM algorithm improves the signal-to-clutter ratio (SCR) by 4 dB compared to CF-DAS and DAS. The results show that our proposed algorithm imaging results have less clutter.