Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy

This book highlights one of the most recent advances in the field of microwave imaging. The framework presented offers an innovative and effective way to address the difficulties that arise in microwave imaging, namely the non-linearity and the ill-posedness of the underlying inverse problem. The book provides a comprehensive treatment of this new topic as well as an extensive discussion of the results achieved to date. Featuring both figures and concrete examples, the book equips readers for the practical implementation of these new concepts and the relevant inversion tools.
The book also covers remaining challenges, as well as the prospects of using Virtual Experiments as a tool to address other classes of inverse problems relevant to imaging and diagnostic applications such as ultrasound, elastography, and seismic waves.

The book will be of interest to electrical engineers, applied physicists, and applied mathematicians working on microwave imaging applications. Further, it will be of use to graduate students and researchers working on topics related to inverse problems in wave physics such as microwaves, radio frequencies, ultrasounds, and seismic and elastic waves.