Task based visualization of 5D brain EIT data

Yan Zhang, Peter J. Passmore , Richard H. Bayford

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Visualization is vital for medical research and clinical applications to interpret information presented in medical imaging data. EIT (Electrical Impedance Tomography) is a recently developed medical imaging technique, which is able to collect 5D spectral-temporal-spatial data. Visualization of multi-dimensional medical imaging data is still a challenge. Making use of the TMDV (Task-based Multi-Dimensional Visualization) method and CTE (Cubic Task Explore) model, a task based prototype system, EIT5DVis, is developed for the visualization of 5D brain EIT data in this paper. The evaluation result demonstrates the usability of EIT5DVis prototype visualization system and the effectiveness of the TMVD method and CTE model for the visualization of multi-dimensional medical imaging data.
    Original languageEnglish
    Title of host publicationSAC '09 Proceedings of the 2009 ACM symposium on Applied Computing
    Place of PublicationNew York
    PublisherACM
    Pages831-835
    Number of pages5
    ISBN (Print)978-1-60558-166-8
    DOIs
    Publication statusPublished - 8 Mar 2009

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    Keywords

    • visualization
    • task based
    • EIT image
    • multi-dimensional

    Cite this

    Zhang, Y., Passmore , P. J., & Bayford, R. H. (2009). Task based visualization of 5D brain EIT data. In SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing (pp. 831-835). ACM. https://doi.org/10.1145/1529282.1529459