Hyperparameter Algorithms in Electrical Impedance Tomography for Rotational Data

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

    Abstract

    Rotational electrical impedance tomography provides novel possibilities for multimodal imaging. This could be especially useful in tissue engineering studies where non-destructive and label-free imaging is needed. In difference electrical impedance tomography, the change in conductivity distribution between two samples or states is reconstructed from boundary measurements. Typically, regularization is employed in the solution to tackle the ill-posedness of the problem. The amount of regularization is controlled by a hyperparameter value that is commonly found by subjective and time consuming heuristic selection. In order to find an automatized method that works with rotational data, three state-of-the-art methods for hyperparameter selection were investigated: BestRes, L-Curve and the averaged signal-to-noise ratio (SNR¯ ) as noise performance metric. These were tested with conventional and rotational experimental data. The results show that SNR¯ was the only method that provided good image quality with rotational data.

    Original languageEnglish
    Title of host publication8th European Medical and Biological Engineering Conference
    Subtitle of host publicationProceedings of the EMBEC 2020, November 29 – December 3, 2020 Portorož, Slovenia
    EditorsTomaz Jarm, Aleksandra Cvetkoska, Samo Mahnič-Kalamiza, Damijan Miklavcic
    Place of PublicationCham
    PublisherSpringer
    Pages631-643
    Number of pages13
    ISBN (Electronic)978-3-030-64610-3
    ISBN (Print)978-3-030-64609-7
    DOIs
    Publication statusPublished - 2021
    Publication typeA4 Article in conference proceedings
    EventEuropean Medical and Biological Engineering Conference - Portorož, Slovenia
    Duration: 29 Nov 20203 Dec 2020

    Publication series

    NameIFMBE Proceedings
    Volume80
    ISSN (Print)1680-0737
    ISSN (Electronic)1433-9277

    Conference

    ConferenceEuropean Medical and Biological Engineering Conference
    Abbreviated titleEMBEC
    Country/TerritorySlovenia
    CityPortorož
    Period29/11/203/12/20

    Keywords

    • Electrical impedance tomography
    • Hyperparameter
    • Regularization parameter
    • Rotational EIT

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Bioengineering
    • Biomedical Engineering

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