Detection of Brain Strokes Using Microwave Tomography
Detection of Brain Strokes Using Microwave Tomography
复制标题
使用微波断层扫描检测脑中风
DOI：
10.1109/apusncursinrsm.2018.8609404
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
L. Blanc
中科院分区：
文献类型：
--
作者：
V. L. Coli;Pierre;V. Dolean;Ibtissam El Kanfoud;C. Pichot;Claire Mialiaccio;L. Blanc
脑卒中是世界范围内残疾和死亡的主要原因。中风有两种类型，缺血性或脑梗死（85%的病例）和出血性（15%）。必须迅速作出诊断（在症状出现后3至4小时内），以确定中风的性质并进行治疗。最近的工作表明，根据微波域中的中风[1]的性质，复介电常数会发生变化。我们在这里感兴趣的是使用微波断层扫描检测脑中风。我们目前的电磁模拟耦合到一个现实的噪声模型的测量结果。正问题基于大规模并行计算的区域分解方法，反问题基于L-BFGS算法与基于全变分（TV）的正则化。
Brain stroke is a major cause of disability and death worldwide. There are two types of stroke, ischemic or cerebral infarction (85% of cases) and hemorrhagic (15%). The diagnosis must be made quickly (within 3 to 4 hours after the onset of symptoms) to determine the nature of the stroke and proceed to treatment. Recent works have shown the modification of the complex permittivity according to the nature of stroke [1] in the microwave domain. We are interested here in the detection of brain strokes using microwave tomography. We present results obtained by electromagnetic simulations coupled to a realistic noise model of measurements. The forward problem is based on a massively parallel computing using domain decomposition method, and an inverse problem based on L-BFGS algorithm with a regularization based on total variation (TV).