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 MŠMT(CZ) LM2015062; GA MŠMT(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
OECD category: Applied mathematics
Impact factor: 0.550, year: 2019 ; AIS: 0.28, rok: 2019
Method of publishing: Open access
Result website:
https://ias-iss.org/ojs/IAS/article/view/1701DOI: https://doi.org/10.5566/ias.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