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SpectraMosaic: An exploratory tool for the interactive visual analysis of magnetic resonance spectroscopy data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00118589" target="_blank" >RIV/00216224:14330/19:00118589 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.2312/vcbm.20191225" target="_blank" >http://dx.doi.org/10.2312/vcbm.20191225</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2312/vcbm.20191225" target="_blank" >10.2312/vcbm.20191225</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    SpectraMosaic: An exploratory tool for the interactive visual analysis of magnetic resonance spectroscopy data

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2019

  • ISBN

    9783038680819

  • ISSN

    2070-5786

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1-10

  • Publisher name

    Eurographics Association

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno, Czech Republic

  • Event date

    Jan 1, 2019

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article