Serguei Semenov

TL;DR: There is no accurate way to provide reliable information about the key components of i-stroke physiology that include the position and size of the acute stroke (arterial occlusion), the core infarct region that contains irreversibly injured tissues, and the ischemic penumbra, i.e., the tissue that could potentially be restored by rapid revascularization.

TL;DR: This article deals with microwave tomography for brain stroke imaging using state-of-the-art numerical modeling and massively parallel computing for Iterative microwave tomographic imaging.

TL;DR: The technology from virtual brain imaging stage to an imaging of normal human brain (volunteers study) and first imaging results are presented here.

TL;DR: First EMT tomographic human brain imaging results are presented here and the EMT scanner was used in initial clinical studies for diagnostic of stroke.

TL;DR: In this article, the authors proposed a method for the detection of cerebrovascular accidents by microwave tomographic imaging, which requires the solution of an inverse problem relying on a minimization algorithm (for example, gradient-based), where successive iterations consist in repeated solutions of a direct problem.