Introduction to Special Issue on “Electromagnetic Technologies for Medical Diagnostics: Fundamental Issues, Clinical Applications and Perspectives”

Abstract

The application of microwave technologies in medical imaging and diagnostics is an emerging topic within the electromagnetic (EM) engineering community [...]

Experimental Validation of Microwave Tomography with the DBIM-TwIST Algorithm for Brain Stroke Detection and Classification

“…Microwave imaging (MWI) can potentially offer these advantages, and has thus emerged as a promising alternative for diagnosing cardiovascular diseases which could be used prior to MRI or CT scans [4]. Efforts to develop MWI systems for medical diagnostics go back almost forty years, with several review papers, book chapters, and special issues reporting recent developments [5][6][7]. Amongst a large body of research in medical microwave imaging, which cannot possibly be fully reviewed here, we note that various experimental systems have been developed for breast cancer detection [8][9][10][11][12][13][14], and more recently for stroke monitoring and detection [15][16][17].…”

Enhanced Detection of Magnetic Nanoparticles Using a Novel Microwave Ferromagnetic Resonance Imaging System

“…Gains in image quality imparted through these modifications to the imaging algorithm are preserved across different frequency bandwidths and boundary condi- Methods of utilizing MWI for biomedical applications have been investigated for almost half a century [71,72]. Some recent representative research can be found in [73]. MWI algorithms can be split into those producing qualitative images, where the reconstructed value at each pixel is a relative quantity, and those producing quantitative reconstructions of a physical property, typically the complex-valued permittivity.…”

Tools for the efficient implementation of the DBIM algorithm in microwave imaging experiments

“…Microwave imaging (MWI) for medical applications is gaining increasing interest from various research groups worldwide, as it is safe, non-invasive, and has potential to lead to low-cost and portable devices [1]. MWI methods reconstruct the distribution of tissues with different electric properties by solving an electromagnetic inverse scattering problem [2].…”