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

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. - : Društvo za stereologijo in kvantitativno analizo slike - ISSN 1580-3139 Roč. 38, č. 3 (2019), s. 255-260
Number 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 MŠMT - Ministry of Education, Youth and Sports (MEYS)
	EF16_013/0001775 GA MŠMT - 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

Number of the records: 1