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

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    0518661 - FGÚ 2020 RIV SI eng J - Journal Article
    Janáček, Jiří - Jirák, D.
    Volume tensor estimation using a virtual line grid: study of a developing pheasant brain.
    Image Analysis and Stereology. Roč. 38, č. 3 (2019), s. 255-260. ISSN 1580-3139
    R&D Projects: GA MŠk(CZ) LM2015062; GA MŠk(CZ) EF16_013/0001775; GA ČR(CZ) GAP302/12/1207
    Research Infrastructure: Czech-BioImaging - 90062
    Institutional support: RVO:67985823
    Keywords : bird brain * development * Fakir probe * magnetic resonance imaging * volume Minkowski tensor
    Subject RIV: BD - Theory of Information
    OECD category: Applied mathematics
    Impact factor: 0.550, year: 2019
    Method of publishing: Open access
    https://ias-iss.org/ojs/IAS/article/view/1701

    The 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.
    Permanent Link: http://hdl.handle.net/11104/0303747

     
     
Number of the records: 1