Early-Stage Lung Tumor Detection Based on Super-Wideband Microwave Reflectometry

This paper aims to detect early-stage lung tumors in deep-seated and superficial locations, precisely measure the size of detected tumor using non-invasive microwave reflectometry over a super-wideband (SWB) frequency range. Human phantom are modeled multi-layer concentric cylinder structure spherical-shaped inclusions, respectively. Firstly, study on dielectric properties human torso tissues is carried out an SWB range 1–25 GHz based Cole–Cole dispersion model. Intensive full-wave simulations under irradiation by custom-designed antenna array then performed. Results show that small sizes from 5 mm radius both locations tissue can be contrast reflection coefficients reconstructed images produced backscattered signals between normal anomalous tissues. The potential successfully their early stages at different depths has been demonstrated.