Stroke Diagnosis Using Microwave Techniques: Review of Systems and Algorithms

Abstract

Microwave imaging has recently drawn increasing attention due to its potential for rapid stroke diagnosis using this low-cost, and non-ionizing modality. Besides, this modality can be built as a portable scanning device that can be utilized for both on-site and in-hospital settings. Over the past few years, there have been great efforts by many scientists and engineers to translate this life-saving technology to a clinical setting. Although recent progress indicates that microwave imaging has indeed evolved at a rapid pace, there are still several challenges to be addressed. This paper discusses the recent progress in addition to challenges and limitations that must be overcome to enable the development of clinical systems for stroke diagnosis with robust and reliable results. It provides a comprehensive review of recent systems, focusing on complete systems and processing algorithms.