Microwave Imaging Algorithm for Detecting Brain Disorders

Abstract

This paper presents the development of a radar-based microwave head imaging algorithm that is used for detecting strokes, tumors, and other anomalies that form in the brain. The imaging algorithm is based off a previously proposed microwave imaging in space-time algorithm (MIST) that was implemented for breast cancer detection. Simulated data was obtained from a wearable antenna array system and processed in the modified MIST algorithm. In addition, experiments were also carried out to test the imaging algorithm on data obtained from the fabricated sensors on phantoms that represented a human brain model with diseases. Resulting images from the algorithm are of good quality and provides a clearer indication of where the diseases are located in the brain. In addition, the algorithm is also able to display anomalies that are located in deeper regions of the brain. This provides a foundation for future work to be developed in building a complete system that utilises a wearable microwave sensor array and imaging algorithm for non-invasive head imaging systems.