EEG Source Imaging using GANs with Deep Image Prior

Yaxin Guo, Meng Jiao, Guihong Wan, Jing Xiang, Shouyi Wang, Feng Liu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations

    Abstract

    Brain source localization from electroencephalogram (EEG) signals is an challenging problem for noninvasively localizing the brain activity. Conventional methods use handcrafted regularization terms based on neural-physiological assumptions by exploiting the spatial-temporal structure on the source signals. In recent years, deep learning frameworks have demonstrated superior performance for solving the inverse problems in the natural and medical imaging field. This study proposes a novel unsupervised learning training-free framework based on Generative Adversarial Networks and deep image prior (GANs-DIP) as a generative model simulating spatially structured source signal. The proposed framework can faithfully recover extended source patches activation patterns of the brain in an unsupervised manner. Numerical experiments on a realistic brain model are performed under different levels of signal-to-noise ratio (SNR). The proposed model shows satisfactory performance in recovering the underlying source activation.

    Original languageEnglish
    Title of host publication44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
    Pages572-575
    Number of pages4
    ISBN (Electronic)9781728127828
    DOIs
    StatePublished - 2022
    Event44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom
    Duration: 11 Jul 202215 Jul 2022

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2022-July
    ISSN (Print)1557-170X

    Conference

    Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
    Country/TerritoryUnited Kingdom
    CityGlasgow
    Period11/07/2215/07/22

    Keywords

    • Deep Image Prior
    • EEG Source Imaging
    • Generative Adversarial Networks
    • Inverse Problem

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