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Single-Voxel Proton MR-Spectroscopy Signal Analysis by Fingerprinting

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F21%3A00558132" target="_blank" >RIV/68081731:_____/21:00558132 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/21:PU140765

  • Result on the web

    <a href="https://www.measurement.sk/M2021/doc/Proceedings_M2021.pdf" target="_blank" >https://www.measurement.sk/M2021/doc/Proceedings_M2021.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Single-Voxel Proton MR-Spectroscopy Signal Analysis by Fingerprinting

  • Original language description

    This paper presents the construction of a prototype fingerprint dictionary for the identification of metabolites using simple linear combinations without a preprocessing and the usage of various algorithms for fitting curves. The identification process is reduced to comparing each point of the unknown spectrum with the value stored in the dictionary. Based on the obtained results, the concept of MR fingerprinting dictionary prototype is considered to be an alternative method for NMR signal analysis, metabolite quantification and preparing data for machine learning approach as a training set with further results comparison with fittings models.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MEASUREMENT 2021. Proceedings of the 13th International Conference on Measurement

  • ISBN

    978-80-972629-4-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    (2021)

  • Publisher name

    Institute of Measurement Science, SAS

  • Place of publication

    Bratislava

  • Event location

    online

  • Event date

    May 17, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article