Real-time frequency-based multistatic microwave imaging for medical applications (Invited)

In many medical applications, getting an accurate detection in real, or at least quasi-real, time is vital for the survival of the patient. An example of such an application is the detection of brain injuries due to different accidents. In this work, a frequency-domain multistatic microwave imaging technique, which aims to serve medical applications that require fast diagnosis, is explained. The method employs the captured multistatic scattered signals around the imaged domain to predict the scattering profiles inside that domain in a quasi-real-time manner. For an accurate reconstruction of the internal scattering profile, the method employs a proper technique to cancel background clutter and skin interface reflections. It is successfully verified using full-wave electromagnetic simulations in the detection of brain injury, which is one of the challenging applications of microwave imaging. To that end, a realistic radar-based simulation environment that includes an 8-element antenna array is used to detect brain injuries in a realistic head phantom.