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Volume tensor estimation using a virtual line grid: study of a developing pheasant brain

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    SYSNO ASEP0518661
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleVolume tensor estimation using a virtual line grid: study of a developing pheasant brain
    Author(s) Janáček, Jiří (FGU-C) RID, ORCID
    Jirák, D. (CZ)
    Source TitleImage Analysis and Stereology - ISSN 1580-3139
    Roč. 38, č. 3 (2019), s. 255-260
    Number of pages7 s.
    Languageeng - English
    CountrySI - Slovenia
    Keywordsbird brain ; development ; Fakir probe ; magnetic resonance imaging ; volume Minkowski tensor
    Subject RIVBD - Theory of Information
    OECD categoryApplied mathematics
    R&D ProjectsLM2015062 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    EF16_013/0001775 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    GAP302/12/1207 GA ČR - Czech Science Foundation (CSF)
    Research InfrastructureCzech-BioImaging - 90062 - Ústav molekulární genetiky AV ČR, v. v. i.
    Method of publishingOpen access
    Institutional supportFGU-C - RVO:67985823
    UT WOS000502826900006
    DOI10.5566/ias.1701
    AnnotationThe volume tensor provides a robust estimate of the shape and orientation of an object in space. In this paper, we introduce Fakir method for estimating the tensor of an object in 3D data set based on the intersections of objects boundary with virtual lines. We calculate the precision of shape estimates by predicting the variance of estimators of integrals based on systematic sampling. To demonstrate the ability of the Fakir method, we measure changes in shape and orientation of compartments in the pheasant brain during development.
    WorkplaceInstitute of Physiology
    ContactLucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
    Year of Publishing2020
    Electronic addresshttps://ias-iss.org/ojs/IAS/article/view/1701
Number of the records: 1