Title :
Real-time frequency-based multistatic microwave imaging for medical applications (Invited)
Author :
A. M. Abbosh;A. Zamani;A. T. Mobashsher
Author_Institution :
School of ITEE, University of Queensland, St Lucia, 4072, Brisbane, Australia
Abstract :
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.
Keywords :
"Head","Microwave imaging","Microwave theory and techniques","Radar imaging","Reflection","Antennas"
Conference_Titel :
RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), 2015 IEEE MTT-S 2015 International Microwave Workshop Series on
DOI :
10.1109/IMWS-BIO.2015.7303811