Evaluation of Reconstruction Algorithms Based on Scattering Parameters for Breast Anomaly Detection Using Patch Antennas in Simulated and Physical Environments

Breast cancer is a leading cause of female mortality worldwide. This project addresses the need for safer and more accessible early detection methods by proposing a non-invasive alternative based on microwave technology. Unlike conventional mammography, this technique avoids ionizing radiation and painful breast compression. The methodology integrates computational electromagnetism and biomedical antenna design. Simulations will be developed in ANSYS HFSS to model heterogeneous breasts, and reconstruction algorithms such as Born and DBIM will be implemented in MATLAB to process scattering parameters (S-parameters). Experimental validation will be conducted by constructing breast phantoms with realistic dielectric properties and using a multi-port Vector Network Analyzer (VNA). Expected results include an experimental system capable of detecting tumors as small as 2 mm and the publication of indexed scientific articles. This approach aims to lay the foundation for portable, low-cost screening tools, improving access to timely diagnoses and reducing breast cancer-associated mortality.<br/><br/><b>Goal</b>: <br/>Evaluate the efficacy of image reconstruction algorithms based on scattering parameters obtained through patch antennas for the detection of breast anomalies. The project uses simulated and physical environments to validate this non-invasive technology.<br/><br/><b>Research lines</b>: <br/>Applied embedded systems