基于单电极激励模式的颅脑电阻抗图像重建方法研究

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摘要:

作为一种新兴的可视化技术,电阻抗层析成像(EIT)能够根据人体组织病理变化对其电导率分布进行图像重建,为疾病检测提供了一种选择.在基于EIT的脑部疾病检测中,为了改善被测区域的灵敏度分布并解决电阻抗成像中典型的不适定问题,在单电极激励数据采集模式下,提出了k阶有限差分L1正则化目标函数,并采用增广拉格朗日和交替方向算法对目标函数进行求解,实现电导率分布的重构.研究了单电极激励模式下,外接电阻对敏感场的影响;针对脑出血和脑缺血两种病情,对比了Landweber方法、Newton-Raphson方法、Tikhonov方法、广义总变分方法(TGV)和本文方法的图像重建性能.结果表明,在脑出血和脑缺血的图像重建中,采用单电极激励模式的ALAD-LR方法可有效提高图像重建质量,并具有较强的鲁棒性.

As a new visualization technology,electrical impedance tomography(EIT)can reconstruct the conductivity distribution of human tissues according to pathological changes,providing a choice for disease detection.While detecting brain disease basing on EIT,to improve the sensitivity distribution of the measured area and solve the typical ill-posed problem in electrical impedance tomography,a single electrode excitation data acquisition mode is adopted in this paper,a k-order finite-difference L 1 regularization objective function is proposed,and the augmented Lagrange and alternating direction algorithms are used to solve the objective function to reconstruct the conductivity distribution.The influence of external resistance on the sensitive field under single electrode excitation mode is researched.For intracerebral hemorrhage and intracerebral ischemia,the image reconstruction performance of Landweber method,Newton-Raphson method,Tikhonov,total generalized variation method and the proposed method are compared.The results show that ALAD-LR method with single electrode excitation mode can effectively improve the quality of image reconstruction and has strong robustness in the image reconstruction of cerebral hemorrhage and cerebral ischemia.

作者:

王萌 郑硕 施艳艳 廖娟娟

Wang Meng;Zheng Shuo;Shi Yanyan;Liao Juanjuan(College of Electronic and Electrical Engineering,Henan Normal University,Xinxiang 453007,China;School of Biomedical Engineering,Fourth Military Medical University,Xi′an 710032,China)

机构地区:

betway官方app 电子与电气工程学院 第四军医大学生物医学工程学院

引用本文:

《betway官方app 学报(自然科学版)》 CAS  2024年第2期89-95,F0002,共8页

Journal of Henan Normal University(Natural Science Edition)

基金:

国家自然科学基金(61903127) 河南省自然科学基金(212300410055) 河南省高校科技创新计划项目(21HASTIT018) 河南省高等学校青年骨干教师培养计划(2020GGJS061) betway官方app 研究生项目(YL202105)。

关键词:

电阻抗成像 图像重建 单电极激励 正则化方法

electrical impedance tomography image reconstruction single electrode excitation regularization method

分类号:

TH772 [机械工程—精密仪器及机械] 


基于单电极激励模式的颅脑电阻抗图像重建方法研究.pdf

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