Breast Tumor Detection and Classification Based on Microwave Imaging

Limitations caused by traditional breast cancer detection and screening techniques have encouraged researchers to investigate alternative solutions. This study examines the use of a microwave-based approach for tumor in tissue related type classification using matched-filtering. Radar-like confocal microwave imaging (CMI) method constructs foundation such approach. In particular, pulse is first transmitted, then back-scattered pulses are collected. All major reflective sites detected repeating this procedure on transmission-reception grid, aligning captured signals in-time focus particular region superimposing time-shifted improve signal-to-clutter level. observed signals, clutter originated heterogeneity while signal site as function its water content.
 calculations, study, were performed computationally terms 3D Finite-Difference Time-Domain (FDTD) simulation models. For antenna system, two cross-polarized resistively loaded bow-ties antennas used computational model, was modeled five different size morphologies. Matched-filtering, other hand, matching obtained observations with that homogenous tissue, namely clutter-free model. Performance proposed tested array resolutions, it parameter important successful tumor-site realistic heterogenous