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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 - Článek v odborném periodiku
    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
    Grant CEP: GA MŠk(CZ) LM2015062; GA MŠk(CZ) EF16_013/0001775; GA ČR(CZ) GAP302/12/1207
    Výzkumná infrastruktura: Czech-BioImaging - 90062
    Institucionální podpora: RVO:67985823
    Klíčová slova: bird brain * development * Fakir probe * magnetic resonance imaging * volume Minkowski tensor
    Kód oboru RIV: BD - Teorie informace
    Obor OECD: Applied mathematics
    Impakt faktor: 0.550, rok: 2019
    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.
    Trvalý link: http://hdl.handle.net/11104/0303747
     
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