基于囟门补偿的婴儿脑电正问题建模方法  

Fontanel compensation for infant electroencephalography forward modeling method

作　　者：张婷 刘燕 彭博 张思琪 胡莹 仲伟峰[1] 戴亚康[2,7,8] ZHANG Ting;LIU Yan;PENG Bo;ZHANG Siqi;HU Ying;ZHONG Weifeng;DAI Yakang(School of Automation,Harbin University of Science and Technology,Harbin 150080,P.R.China;Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,Jiangsu 215163,P.R.China;School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China;College of Computer and Control Engineering,Northeast Forestry University,Harbin 150080,P.R.China;Faculty of Psychology,Beijing Normal University,Beijing 100875,P.R.China;School of Biomedical Engineering,University of Science and Technology of China,Hefei 230026,P.R.China;Suzhou Guoke Medical Technology Development(Group)Co.LTD,Suzhou,Jiangsu 215163,P.R.China;Suzhou Guoke Kangcheng Medical Technology Co.,LTD,Suzhou,Jiangsu 215163,P.R.China)

机构地区：[1]哈尔滨理工大学自动化学院,哈尔滨150080 [2]中国科学院苏州生物医学工程技术研究所,江苏苏州215163 [3]电子科技大学生命科学与技术学院,成都611731 [4]东北林业大学计算机与控制工程学院,哈尔滨150080 [5]北京师范大学心理学部,北京100875 [6]中国科学技术大学生物医学工程学院,合肥230026 [7]苏州国科医工科技发展(集团)有限公司,江苏苏州215163 [8]苏州国科康成医疗科技有限公司,江苏苏州215163

出　　处：《生物医学工程学杂志》2024年第6期1085-1094,共10页Journal of Biomedical Engineering

基　　金：科技创新2030“脑科学与类脑研究”重大项目(2022ZD0208500);国家自然科学基金(62271481,62471467);江苏省重点研发项目(BE2021012-4,BE2022049-2);江苏省创新支撑计划国际科技合作项目(BZ2022028);苏州市基础研究试点项目(SJC2022012,SSD2023008)。

摘　　要：基于磁共振成像(MRI)的脑电正问题建模方法已在脑电领域被广泛应用。然而,婴儿囟门无法在MRI中清晰成像,所构建婴儿脑电正问题建模缺乏囟门信息,影响建模精度。为此,本文提出一种新的基于囟门补偿的婴儿脑电正问题建模方法。首先,基于头部MRI的图像分割和网格划分,构建无囟门头模型;然后,提出基于投影的网格重建方法,利用囟门的形态学先验信息和无囟门头模型将二维囟门测量重建为三维囟门模型,实现囟门补偿头模型构建;最后,该头模型被用于脑电正问题建模完成脑电正问题的囟门补偿。基于真实头模型的仿真结果表明,所提囟门补偿具有提升婴儿脑电正问题建模精度的潜力,对于囟门下方神经源的补偿效果尤为显著(拓扑误差RDM>0.05)。进一步的实验结果表明,颅骨电导率的不确定性对建模的影响范围最广,囟门缺失对建模的影响强度最大。总体上,本文提出的基于形态学先验的囟门补偿方法展现出不依赖计算机断层扫描(CT)即可提升脑电正问题建模精度的潜力,更符合实际应用场景的需求。Magnetic resonance imaging(MRI)-based electroencephalography(EEG)forward modeling method has become prevalent in the field of EEG.However,due to the inability to obtain clear images of an infant’s fontanel through MRI,the fontanelle information is often lacking in the EEG forward model,which affects accuracy of modeling in infants.To address this issue,we propose a novel method to achieve fontanel compensation for infant EEG forward modeling method.First,we employed imaging segmentation and meshing to the head MRIs,creating a fontanel-free model.Second,a projection-based surface reconstruction method was proposed,which utilized priori information on fontanel morphology and the fontanel-free head model to reconstruct the two-dimensional measured fontanel into a three-dimensional fontanel model to achieve fontanel-compensation modeling.Finally,we calculated a fontanel compensation-based EEG forward model for infants based on this model.Simulation results,based on a real head model,demonstrated that the compensation of fontanel had a potential to improve EEG forward modeling accuracy,particularly for the sources beneath the fontanel(relative difference measure larger than 0.05).Additional experimental results revealed that the uncertainty of the infant’s skull conductivity had the widest impact range on the neural sources,and the absence of fontanel had the strongest impact on the neural sources below the fontanel.Overall,the proposed fontanelcompensated method showcases the potential to improve the modeling accuracy of EEG forward problem without relying on computed tomography(CT)acquisition,which is more in line with the requirements of practical application scenarios.

关 键 词：脑电正问题建模 婴儿囟门 囟门补偿 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] R318[自动化与计算机技术—计算机科学与技术]