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    SpectraMosaic: An Exploratory Tool for the Interactive Visual Analysis of Magnetic Resonance Spectroscopy Data

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    Date
    2019
    Author
    Garrison, Laura
    Vašíček, Jakub
    Grüner, Renate
    Smit, Noeska N.
    Bruckner, Stefan
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    Abstract
    Magnetic resonance spectroscopy (MRS) allows for assessment of tissue metabolite characteristics used often for early detection and treatment evaluation of brain-related pathologies. However, a steep learning curve for metabolite interpretation, paired with limited visualization tools, have constrained the more widespread adoption of MRS in clinical practice. In this design study, we collaborated with domain experts to design a novel visualization tool for the exploration of tissue metabolite concentration ratios in MRS clinical and research studies. We present a data and task analysis for this domain, with categorization of MRS data attributes into tiers of visual priority. We furthermore introduce a novel set of visual encodings for these attributes. Our result is SpectraMosaic (Figure 1), an interactive insight-generation tool for rapid exploration and comparison of metabolite ratios. We validate our approach with two case studies from MR spectroscopy experts, providing early qualitative evidence of the efficacy of the system and affording deeper insights into these complex data.
    BibTeX
    @inproceedings {bm.20191225,
    booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
    editor = {Kozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgia},
    title = {{SpectraMosaic: An Exploratory Tool for the Interactive Visual Analysis of Magnetic Resonance Spectroscopy Data}},
    author = {Garrison, Laura and Vašíček, Jakub and Grüner, Renate and Smit, Noeska N. and Bruckner, Stefan},
    year = {2019},
    publisher = {The Eurographics Association},
    ISSN = {2070-5786},
    ISBN = {978-3-03868-081-9},
    DOI = {10.2312/vcbm.20191225}
    }
    URI
    https://doi.org/10.2312/vcbm.20191225
    https://diglib.eg.org:443/handle/10.2312/vcbm20191225
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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA