Detection of Simulated Brain Strokes Using Microwave Tomography

作     者：Coli, Vanna Lisa Tournier, Pierre-Henri Dolean, Victorita El Kanfoud, Ibtissam Pichot, Christian Migliaccio, Claire Blanc-Feraud, Laure 

作者机构：Univ Cote dAzur CNRS CEPAM F-06357 Nice 4 France Univ Paris Diderot SPC Univ Sorbonne CNRS INRIALJLL F-75005 Paris France Univ Cote dAzur LJAD CNRS F-06108 Nice 2 France Univ Strathclyde Dept Math & Stat Glasgow G1 1XH Lanark Scotland Univ Cote dAzur CNRS LEAT F-06903 Sophia Antipolis France Univ Cote dAzur CNRS INRIA I3S F-06900 Sophia Antipolis France 

出 版 物：《IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY》 (IEEE J. Electromagn. RF Microwaves Med. Biol.)

年 卷 期：2019年第3卷第4期

页      面：254-260页

核心收录：

基　　金：French National Research Agency EPSRC [EP/S004017/1] Funding Source: UKRI 

主　　题：Microwave imaging biomedical imaging inverse problems mathematical programming optimizationmethods signal reconstruction dielectric constant medical image processing parallel programming brain stroke imaging domain-specific language gradient based minimization algorithm regularization methods total variation hemorrhagic brain stroke detection high-speed parallel computing iterative microwave tomographic imaging massively parallel computing numerical modeling open source FreeFem plus plus solver whole-microwave measurement system brain modeling computational modeling tomography 

摘      要：Brain strokes are one of the leading causes of disability and mortality in adults in developed countries. Ischemic stroke (85% of total cases) and hemorrhagic stroke (15%) must be treated with opposing therapies, and thus, the nature of the stroke must be determined quickly in order to apply the appropriate treatment. Recent studies in biomedical imaging have shown that strokes produce variations in the complex electric permittivity of brain tissues, which can be detected by means of microwave tomography. Here, we present some synthetic results obtained with an experimental microwave tomography-based portable system for the early detection andmonitoring of brain strokes. The determination of electric permittivity first requires the solution of a coupled forward-inverse problem. We make use of massive parallel computation from domain decomposition method and regularization techniques for optimization methods. Synthetic data are obtained with electromagnetic simulations corrupted by noise, which have been derived from measurements errors of the experimental imaging system. Results demonstrate the possibility to detect hemorrhagic strokes with microwave systems when applying the proposed reconstruction algorithm with edge preserving regularization.