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Volume tensor estimation using a virtual line grid: study of a developing pheasant brain
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SYSNO ASEP 0518661 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Volume 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 Title Image Analysis and Stereology - ISSN 1580-3139
Roč. 38, č. 3 (2019), s. 255-260Number of pages 7 s. Language eng - English Country SI - Slovenia Keywords bird brain ; development ; Fakir probe ; magnetic resonance imaging ; volume Minkowski tensor Subject RIV BD - Theory of Information OECD category Applied mathematics R&D Projects LM2015062 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 Infrastructure Czech-BioImaging - 90062 - Ústav molekulární genetiky AV ČR, v. v. i. Method of publishing Open access Institutional support FGU-C - RVO:67985823 UT WOS 000502826900006 DOI 10.5566/ias.1701 Annotation 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. Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2020 Electronic address https://ias-iss.org/ojs/IAS/article/view/1701
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