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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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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