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Interactive visual exploration of metabolite ratios in MR spectroscopy studies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00118588" target="_blank" >RIV/00216224:14330/20:00118588 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.cag.2020.08.001" target="_blank" >https://doi.org/10.1016/j.cag.2020.08.001</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.cag.2020.08.001" target="_blank" >10.1016/j.cag.2020.08.001</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Interactive visual exploration of metabolite ratios in MR spectroscopy studies

  • Original language description

    Magnetic resonance spectroscopy (MRS) is an advanced biochemical technique used to identify metabolic compounds in living tissue. While its sensitivity and specificity to chemical imbalances render it a valuable tool in clinical assessment, the results from this modality are abstract and difficult to interpret. With this design study we characterized and explored the tasks and requirements for evaluating these data from the perspective of a MRS research specialist. Our resulting tool, SpectraMosaic, links with upstream spectroscopy quantification software to provide a means for precise interactive visual analysis of metabolites with both single- and multi-peak spectral signatures. Using a layered visual approach, SpectraMosaic allows researchers to analyze any permutation of metabolites in ratio form for an entire cohort, or by sample region, individual, acquisition date, or brain activity status at the time of acquisition. A case study with three MRS researchers demonstrates the utility of our approach in rapid and iterative spectral data analysis. (C) 2020 The Author(s). Published by Elsevier Ltd.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computers & Graphics

  • ISSN

    0097-8493

  • e-ISSN

  • Volume of the periodical

    92

  • Issue of the periodical within the volume

    Nov

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

    000605063100002

  • EID of the result in the Scopus database

    2-s2.0-85090212191